Food and drug safety supervision early warning method and system based on intelligent supervision

Abstract

The invention discloses a food and drug safety supervision early warning method and system based on intelligent supervision, and relates to the technical field of food and drug supervision. The food and drug safety supervision early warning method based on intelligent supervision comprises the following steps: S1, environment evaluation; s2, evaluating energy consumption; s3, storing supervision evaluation; and S4, performing comprehensive adjustment. According to the invention, whether environment adjustment is carried out is judged according to the environment evaluation value obtained by storing the environment data and the preset environment evaluation threshold value, and then whether energy consumption adjustment is carried out is judged according to the energy consumption evaluation value obtained based on the energy consumption data after environment adjustment and the preset energy consumption evaluation threshold value; and finally, a storage supervision evaluation value is obtained according to the environment evaluation value and the energy consumption evaluation value after the energy consumption adjustment, and whether comprehensive adjustment is carried out is judged, so that the effect of improving the energy consumption supervision accuracy in the safety supervision process is achieved, and the problem of low energy consumption supervision accuracy in the safety supervision process in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of food and drug supervision, and in particular to a food and drug safety supervision early warning method and system based on intelligent supervision. Background Art

[0002] With the rapid development of information technology, the application of smart supervision in the field of food and drug safety is becoming more and more widespread. Traditional food and drug safety supervision methods often rely on manual inspection and experience judgment, and have problems such as low supervision efficiency and slow response speed. In order to solve these problems, the food and drug safety supervision early warning method and system based on smart supervision uses advanced technologies such as big data, the Internet of Things, and artificial intelligence to achieve real-time monitoring and early warning of various links such as food and drug production, processing, transportation, and sales. By collecting and analyzing data, the system can promptly discover potential safety risks, improve the pertinence and effectiveness of supervision, and thus ensure the safety of food and drugs.

[0003] In the prior art, data is collected in real time and analyzed. According to the data analysis results, an early warning threshold is set. When the data reaches the early warning threshold, the system automatically triggers an early warning signal and notifies the relevant departments to take corresponding measures.

[0004] For example, a food and drug detection system announced in the invention patent with announcement number: CN116911698B includes: a data acquisition port, a data processing port and a data feedback port. The data acquisition port is used to collect the image, smell and storage time data of the product to be tested in real time. The data processing port is used to process the collected image, smell and storage time data of the product to be tested, and then estimate the deterioration time under the influence of the environment, estimate the deterioration time of the product to be tested in different environments, feedback the estimated deterioration time, and at the same time, an alarm is issued when the estimated deterioration time is less than or equal to the preset deterioration time threshold.

[0005] For example, the invention patent with announcement number: CN108492032B announces a food quality monitoring method and device based on a smart refrigerator, which obtains a food quality assessment model of the food placed in the smart refrigerator and the storage parameter information of the food, and monitors the food quality in the smart refrigerator based on the food quality assessment model and the storage parameter information of the food.

[0006] However, the inventors of this application found that the above technology has at least the following technical problems in the process of implementing the technical solution of the invention in the embodiment of this application:

[0007] In the existing technology, energy consumption is an important consideration in the storage process of food and medicine. Energy consumption is not only directly affected by the equipment, but also restricted by other factors, resulting in energy waste and cost increase. There is a problem of low accuracy in energy consumption supervision during safety supervision. Summary of the invention

[0008] The embodiments of the present application solve the problem of low accuracy of energy consumption supervision in the safety supervision process in the prior art by providing a food and drug safety supervision early warning method and system based on intelligent supervision, thereby improving the accuracy of energy consumption supervision in the safety supervision process.

[0009] The embodiment of the present application provides a food and drug safety supervision and early warning method based on intelligent supervision, comprising the following steps: S1, obtaining storage environment data and external environment data of a storage space, processing the obtained storage environment data with preset storage environment data to obtain an environmental evaluation value, wherein the storage environment data includes storage temperature and storage humidity, and the external environment data includes ambient temperature and ambient humidity. The storage environment data represents the average value of the temperature and humidity of the storage space obtained at a preset time point within a preset time period, and the external environment data represents the average value of the temperature and humidity outside the storage space obtained at a preset time point within a preset time period. The environmental evaluation value is used to quantify the storage environment of the storage space. The degree of conformity of the data; S2, based on the environmental assessment value and the preset environmental assessment threshold, determine whether to make environmental adjustments. If environmental adjustments are made, the storage space is evaluated according to the energy consumption data after the environmental adjustment to obtain an energy consumption assessment value, and the energy consumption assessment value is used to quantify the equipment usage status of the storage space; S3, based on the energy consumption assessment value and the preset energy consumption assessment threshold, determine whether to make energy consumption adjustments. If environmental adjustments are made, the storage energy consumption supervision is comprehensively evaluated according to the environmental assessment value and the energy consumption assessment value after the energy consumption adjustment to obtain a storage supervision evaluation value, and the storage supervision evaluation value is used to quantify the effectiveness of the energy consumption adjustment; S4, based on the storage supervision evaluation value and the preset storage supervision evaluation threshold, determine whether to make comprehensive adjustments.

[0010] Furthermore, the specific process of processing the acquired storage environment data with the preset storage environment data to obtain the environmental evaluation value is as follows: obtaining the preset storage environment data of the storage space from the preset database, the preset storage environment data including preset temperature data and preset humidity data, the preset temperature data including preset minimum temperature and preset maximum temperature, the preset humidity data including preset minimum humidity and preset maximum humidity; obtaining the storage environment deviation of the storage space according to the relative relationship analysis between the storage environment data of the storage space and the preset storage environment data, the storage environment deviation including storage temperature deviation and storage humidity deviation, the storage temperature deviation represents the deviation of the storage temperature of the storage space from the preset temperature data, and the storage humidity deviation represents the storage temperature of the storage space from the preset Deviation of humidity data; judging whether the storage temperature deviation is within the preset temperature deviation range, if the storage temperature deviation is within the preset temperature deviation range, processing the storage temperature and ambient temperature of the storage space to obtain a temperature evaluation value, otherwise processing the storage temperature deviation to obtain a temperature evaluation value, and the temperature evaluation value is used to quantify the degree of compliance of the storage temperature of the storage space; judging whether the storage humidity deviation is within the preset humidity deviation range, if the storage humidity deviation is within the preset humidity deviation range, processing the storage humidity and ambient humidity of the storage space to obtain a humidity evaluation value, otherwise processing the storage humidity deviation to obtain a humidity evaluation value, and the humidity evaluation value is used to quantify the degree of compliance of the storage humidity of the storage space; summing the temperature evaluation value and the humidity evaluation value to obtain the environmental evaluation value.

[0011] Furthermore, the specific process of determining whether to make environmental adjustments based on the environmental assessment value and the preset environmental assessment threshold is as follows: A1, determining whether the environmental assessment value is less than the preset environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, execute A2, otherwise no environmental adjustment is made; A2, determining whether the storage temperature is greater than the preset maximum temperature. If the storage temperature is greater than the preset maximum temperature, prompt the preset personnel to start the refrigeration equipment to reduce the storage temperature to the preset maximum temperature. Otherwise, determine whether the storage temperature is less than the preset minimum temperature. If the storage temperature is less than the preset minimum temperature, prompt the preset personnel to start the heating equipment to increase the storage temperature to the preset minimum temperature. Otherwise, execute A4; A3, after adjusting the storage temperature, re-acquire the storage environment data and external environment data of the storage space, and determine whether the environmental assessment value obtained after the temperature adjustment is less than A preset environmental assessment threshold is set. If the environmental assessment value is less than the preset environmental assessment threshold, A4 is executed. Otherwise, the humidity of the storage space is not adjusted. A4 determines whether the storage humidity is greater than the preset maximum humidity. If the storage humidity is greater than the preset maximum humidity, the preset personnel is prompted to start the dehumidification device to reduce the storage humidity to the preset maximum humidity. Otherwise, it is determined whether the storage humidity is less than the preset minimum humidity. If the storage humidity is less than the preset minimum humidity, the preset personnel is prompted to start the humidification device to increase the storage humidity to the preset minimum humidity. Otherwise, the humidity is not adjusted. A5 adjusts the storage humidity and re-acquires the storage environment data and external environment data of the storage space to determine whether the environmental assessment value obtained after the humidity adjustment is less than the preset environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, feedback is given to relevant personnel. Otherwise, the humidity of the storage space is not adjusted.

[0012] Furthermore, the energy consumption data includes environmental energy consumption data and lighting energy consumption data; the environmental energy consumption data includes the voltage and current of the environmental control device, and the lighting energy consumption data includes the voltage, current, external environment brightness and lighting brightness of the lighting device. The environmental energy consumption data represents the average value of the voltage and current of the environmental control device obtained at a preset time point within a preset time period, and the lighting energy consumption data represents the average value of the initial lighting energy consumption data within the preset time period. The initial lighting energy consumption data includes the average value of the voltage, current, external environment brightness and lighting brightness of the lighting device outside the storage space obtained at a preset time point within the preset time period; the environmental control device includes a temperature control device and a humidity control device; the temperature control device includes a refrigeration device and a heating device; the humidity control device includes a dehumidification device and a humidification device; the energy consumption evaluation value includes an environmental energy consumption evaluation value and a lighting energy consumption evaluation value; the environmental energy consumption evaluation value is used to quantify the usage status of the environmental control device; the lighting energy consumption evaluation value is used to quantify the usage status of the lighting device.

[0013] Furthermore, the preset energy consumption assessment threshold includes a preset environmental energy consumption threshold and a preset lighting energy consumption threshold; the energy consumption adjustment includes adjusting the environmental energy consumption and adjusting the lighting energy consumption; the specific steps of judging whether to perform energy consumption adjustment based on the energy consumption assessment value and the preset energy consumption assessment threshold are: comparing the energy consumption assessment value with the corresponding preset energy consumption assessment threshold: if the energy consumption assessment value is less than the corresponding preset energy consumption assessment threshold, energy consumption adjustment is performed; if the energy consumption assessment value is not less than the corresponding preset energy consumption assessment threshold, energy consumption adjustment is not performed.

[0014] Furthermore, the preset energy consumption assessment threshold includes a preset environmental energy consumption threshold and a preset lighting energy consumption threshold; the energy consumption adjustment includes adjusting the environmental energy consumption and adjusting the lighting energy consumption; the specific steps of judging whether to perform energy consumption adjustment based on the energy consumption assessment value and the preset energy consumption assessment threshold are: comparing the energy consumption assessment value with the corresponding preset energy consumption assessment threshold: if the energy consumption assessment value is less than the corresponding preset energy consumption assessment threshold, no energy consumption adjustment is performed; if the energy consumption assessment value is not less than the corresponding preset energy consumption assessment threshold, energy consumption adjustment is performed.

[0015] Furthermore, the specific process of adjusting the environmental energy consumption is as follows: C1, determine whether the environmental energy consumption evaluation value is less than the preset environmental energy consumption threshold. If the environmental energy consumption evaluation value is not less than the preset environmental energy consumption threshold, the environmental energy consumption is not adjusted, otherwise C2 is executed; C2, prompt the preset personnel to replace the environmental control equipment. When the monitored environmental control equipment operates abnormally, the operation of the corresponding environmental control equipment is stopped and feedback is given, otherwise C3 is executed; C3, prompt the preset personnel to reduce the number of environmental control equipment. When the working power of the environmental control equipment is monitored to be less than the corresponding rated power, the corresponding environmental control equipment is turned off, otherwise C4 is executed; C4, when the environmental energy consumption evaluation value of the preset time period is monitored to be not less than the preset environmental energy consumption threshold, the preset personnel are prompted to replace the high-energy consumption equipment with low-energy consumption equipment, otherwise C5 is executed; C5, when the ambient temperature is greater than the preset minimum temperature and less than the preset maximum temperature, the preset personnel are prompted to switch the temperature control equipment to energy-saving mode, otherwise feedback is given.

[0016] Furthermore, the specific process of adjusting the lighting energy consumption is as follows: D1, determine whether the lighting energy consumption evaluation value is less than the preset lighting energy consumption threshold. If the lighting energy consumption evaluation value is not less than the preset lighting energy consumption threshold, do not adjust the lighting energy consumption, otherwise execute D2; D2, obtain the overlapping lighting area according to the lighting area of ​​each lighting device. If the lighting intensity of the overlapping lighting area is greater than the preset lighting brightness maximum value, prompt the preset personnel to reduce the number of lighting devices in the corresponding area until the lighting intensity of the overlapping lighting area is equal to the preset lighting brightness, otherwise execute D3; D3, prompt the preset personnel to adjust the operating time of the lighting equipment; D4, adjust the brightness of the lighting equipment according to the difference between the external environment brightness of the storage space and the preset lighting brightness of the storage space.

[0017] Furthermore, the specific method for comprehensively evaluating the storage energy consumption supervision according to the environmental assessment value after energy consumption adjustment and the energy consumption assessment value to obtain the storage supervision evaluation value is as follows: the environmental assessment value obtained after adjustment is processed with the environmental assessment value obtained before adjustment to obtain the environmental adjustment coefficient, and the environmental adjustment coefficient is used to evaluate the effectiveness of the environmental adjustment; the environmental energy consumption assessment value obtained after adjustment is processed with the environmental energy consumption assessment value obtained before adjustment to obtain the environmental energy consumption adjustment coefficient, and the environmental energy consumption adjustment coefficient is used to evaluate the effectiveness of the environmental energy consumption adjustment; the lighting energy consumption assessment value obtained after adjustment is processed with the lighting energy consumption assessment value obtained before adjustment to obtain the lighting energy consumption adjustment coefficient, and the lighting energy consumption adjustment coefficient is used to evaluate the effectiveness of the lighting energy consumption adjustment; the environmental adjustment coefficient, the environmental energy consumption adjustment coefficient and the lighting energy consumption assessment value are summed to obtain the storage supervision evaluation value; the specific restriction expression of the storage supervision evaluation value is:

[0018] JG=sinh(e HTZ )+sinh(e HNT )+sinh(e ZNT );

[0019]

[0020]

[0021]

[0022] Wherein, i represents the number of the preset time period, i=1,2,...,T, T represents the total number of preset time periods, n represents the number of the environmental control device, n=1,2,...,N, N represents the total number of environmental control devices, m represents the number of the lighting device, m=1,2,...,M, M represents the total number of lighting devices, JG represents the storage supervision assessment value of the storage space, HTZ represents the environmental adjustment coefficient, HNT represents the environmental energy consumption adjustment coefficient, ZNT represents the lighting energy consumption assessment value, HUi ′ represents the adjusted environmental evaluation value of the storage space in the i-th preset time period, HU i WNH represents the environmental evaluation value of the storage space in the i-th preset time period. i.n WNH represents the environmental energy consumption evaluation value of the storage space of the nth environmental control device in the i-th preset time period. i.n ′ represents the adjusted environmental energy consumption evaluation value of the storage space of the nth environmental control device in the i-th preset time period, MNH i MNH represents the lighting energy consumption evaluation value of the storage space in the i-th preset time period. i ′ Represents the lighting energy consumption evaluation value after adjustment of the storage space in the i-th preset time period.

[0023] Furthermore, the specific process of judging whether to make a comprehensive adjustment based on the storage supervision evaluation value and the preset storage supervision evaluation threshold is as follows: B1, judging whether the storage supervision evaluation value is greater than the preset storage supervision evaluation threshold. If the storage supervision evaluation value is greater than the preset storage supervision evaluation threshold, no comprehensive adjustment is made, otherwise B2 is executed; B2, comparing the ambient temperature with the preset temperature range to obtain the ambient temperature deviation, judging whether the ambient temperature deviation is within the preset ambient temperature deviation range, if the ambient temperature deviation is within the preset ambient temperature deviation range, the temperature control device is not used, otherwise judging whether the ambient temperature deviation is less than 0, if the ambient temperature deviation is less than 0, prompting the preset personnel to use the temperature control device. The storage temperature is adjusted to the minimum value of the preset temperature range, otherwise the preset personnel is prompted to adjust the storage temperature to the maximum value of the preset temperature range through the temperature control device; B3, the ambient humidity is compared with the preset humidity range to obtain the ambient humidity deviation, and it is determined whether the ambient humidity deviation is within the preset ambient humidity deviation range. If the ambient humidity deviation is within the preset ambient humidity deviation range, the humidity control device is not used. Otherwise, it is determined whether the ambient humidity deviation is less than 0. If the ambient humidity deviation is less than 0, the preset personnel is prompted to adjust the storage humidity to the minimum value of the preset humidity range through the humidity control device, otherwise the preset personnel is prompted to adjust the storage humidity to the maximum value of the preset humidity range through the humidity control device.

[0024] An embodiment of the present application provides a food and drug safety supervision and early warning system based on intelligent supervision, including: an environmental assessment module, an energy consumption assessment module, a storage supervision assessment module and a comprehensive adjustment module; wherein the environmental assessment module is used to obtain storage environment data and external environment data of the storage space, and process the acquired storage environment data with the preset storage environment data to obtain an environmental assessment value, the storage environment data includes storage temperature and storage humidity, the external environment data includes ambient temperature and ambient humidity, the storage environment data represents the average value of the storage environment data within a preset time period, the external environment data represents the average value of the external environment data within a preset time period, and the environmental assessment value is used to quantify the compliance degree of the storage environment data of the storage space. ; The energy consumption assessment module is used to determine whether to perform environmental adjustments based on the environmental assessment value and the preset environmental assessment threshold. If environmental adjustments are performed, the storage space is evaluated according to the energy consumption data after the environmental adjustment to obtain an energy consumption assessment value, and the energy consumption assessment value is used to quantify the device usage status of the storage space; the storage supervision assessment module is used to determine whether to perform energy consumption adjustments based on the energy consumption assessment value and the preset energy consumption assessment threshold. If environmental adjustments are performed, the storage energy consumption supervision is comprehensively evaluated according to the environmental assessment value and the energy consumption assessment value after the energy consumption adjustment to obtain a storage supervision assessment value, and the storage supervision assessment value is used to quantify the effectiveness of the energy consumption adjustment; the comprehensive adjustment module is used to determine whether to perform comprehensive adjustments based on the storage supervision assessment value and the preset storage supervision assessment threshold.

[0025] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0026] 1. Determine whether to make environmental adjustments by comparing the environmental assessment value obtained through the storage environmental data with the preset environmental assessment threshold, and then determine whether to make energy consumption adjustments based on the energy consumption assessment value obtained based on the environmentally adjusted energy consumption data and the preset energy consumption assessment threshold. Then, obtain the storage supervision assessment value based on the environmental assessment value and energy consumption assessment value after the energy consumption adjustment, and determine whether to make comprehensive adjustments, thereby improving the equipment utilization efficiency, and further achieving the improvement of the accuracy of energy consumption supervision in the safety supervision process, effectively solving the problem of low accuracy of energy consumption supervision in the safety supervision process in the prior art.

[0027] 2. The storage environment deviation of the storage space is obtained by analyzing the relative relationship between the storage environment data of the storage space and the preset storage environment data. Then, if the storage environment deviation is within the preset environment deviation range, the storage environment data and the external environment data of the storage space are processed to obtain the temperature evaluation value and the humidity evaluation value. Otherwise, the storage environment deviation is processed to obtain the temperature evaluation value and the humidity evaluation value. Finally, the environment evaluation value is obtained according to the temperature evaluation value and the humidity evaluation value, thereby effectively quantifying and evaluating the compliance degree of the storage environment data, thereby achieving the improvement of the safety of food and drugs.

[0028] 3. The environmental adjustment coefficient is obtained through the environmental assessment values ​​obtained before and after the adjustment, and then the environmental energy consumption adjustment coefficient is obtained according to the environmental energy consumption assessment values ​​obtained before and after the adjustment. Next, the lighting energy consumption adjustment coefficient is obtained according to the lighting energy consumption assessment values ​​obtained before and after the adjustment. Finally, the storage supervision assessment value is obtained according to the environmental adjustment coefficient, the environmental energy consumption adjustment coefficient and the lighting energy consumption assessment value, thereby realizing the quantification of the effectiveness of storage space supervision on food and drug storage, and then realizing the improvement of the effectiveness of storage supervision on storage space. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flowchart of a food and drug safety supervision early warning method based on intelligent supervision provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of changes in environmental assessment values ​​provided in an embodiment of the present application;

[0031] Figure 3 A structural diagram of a food and drug safety supervision and early warning system based on intelligent supervision provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] The embodiments of the present application solve the problem of low accuracy of energy consumption supervision in the safety supervision process in the prior art by providing a food and drug safety supervision early warning method and system based on intelligent supervision. The method processes the acquired storage environment data and the preset storage environment data to obtain an environmental assessment value, and judges whether to make environmental adjustments based on the environmental assessment value and the preset environmental assessment threshold. Then, the storage space is evaluated according to the energy consumption data after the environmental adjustment to obtain an energy consumption assessment value, and judges whether to make energy consumption adjustments based on the energy consumption assessment value and the preset energy consumption assessment threshold. Then, the storage supervision assessment value is obtained according to the environmental assessment value and the energy consumption assessment value after the energy consumption adjustment, and judges whether to make comprehensive adjustments based on the storage supervision assessment value and the preset storage supervision assessment threshold, thereby improving the accuracy of energy consumption supervision in the safety supervision process.

[0033] The technical solution in the embodiment of the present application is to solve the problem of low accuracy of energy consumption supervision in the above-mentioned safety supervision process, and the overall idea is as follows:

[0034] Whether to make environmental adjustments is determined by comparing the environmental assessment value obtained from the storage environment data with the preset environmental assessment threshold, and then determining whether to make energy consumption adjustments based on the energy consumption value obtained from the energy consumption data after the environmental adjustment and the preset energy consumption assessment threshold. Finally, the storage supervision assessment value is obtained based on the environmental assessment value and energy consumption assessment value after the energy consumption adjustment, and it is determined whether to make comprehensive adjustments, thereby achieving the effect of improving the accuracy of energy consumption supervision in the safety supervision process.

[0035] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0036] like Figure 1 As shown, it is a flow chart of a food and drug safety supervision early warning method based on intelligent supervision provided by an embodiment of the present application, and the method includes the following steps: S1, environmental assessment: obtaining storage environment data and external environment data of the storage space, and processing the obtained storage environment data with the preset storage environment data to obtain an environmental assessment value, the storage environment data includes storage temperature and storage humidity, the external environment data includes ambient temperature and ambient humidity, the storage environment data represents the average value corresponding to the temperature and humidity of the storage space obtained at a preset time point within a preset time period, the external environment data represents the average value corresponding to the temperature and humidity outside the storage space obtained at a preset time point within a preset time period, and the environmental assessment value is used to quantify the storage environment data of the storage space. degree of compliance; S2, energy consumption assessment: determine whether to make environmental adjustments based on the environmental assessment value and the preset environmental assessment threshold. If environmental adjustments are made, the storage space is evaluated according to the energy consumption data after the environmental adjustment to obtain the energy consumption assessment value. The energy consumption assessment value is used to quantify the equipment usage status of the storage space; S3, storage supervision assessment: determine whether to make energy consumption adjustments based on the energy consumption assessment value and the preset energy consumption assessment threshold. If environmental adjustments are made, the storage energy consumption supervision is comprehensively evaluated according to the environmental assessment value and the energy consumption assessment value after the energy consumption adjustment to obtain the storage supervision assessment value. The storage supervision assessment value is used to quantify the effectiveness of the energy consumption adjustment; S4, comprehensive adjustment: determine whether to make comprehensive adjustments based on the storage supervision assessment value and the preset storage supervision assessment threshold.

[0037] In this embodiment, the ambient temperature and ambient humidity represent the temperature and humidity outside the storage space; the storage temperature and storage humidity represent the temperature and humidity inside the storage space; the storage environment data is obtained by an environmental sensor installed inside the storage space, and the sensor should be installed at a position not lower than 2 / 3 of the height of the food and drug shelf or the food and drug stacking height (selected according to the corresponding scenario); the external environment data is obtained by an environmental sensor installed outside the storage space, and sensors are installed at key positions outside the storage space (such as doorways and windows, selected according to the corresponding scenario); the environmental sensor includes a temperature sensor and a humidity sensor; the preset time period is set to one hour, for example, the storage temperature represents the average value of the temperature of the storage space collected within one hour; the preset time point is set to one minute, for example, the temperature of the storage space is collected once every minute within one hour; by quantitatively evaluating the degree of compliance of the storage environment data of the storage space, it is ensured that the temperature and humidity of the storage space are suitable for the storage of food and drugs; by quantitatively evaluating the equipment usage status of the storage space, energy consumption is reduced and the burden of equipment operation is reduced; by comprehensively and quantitatively evaluating the environment and energy consumption, the coordinated optimization of the environment and energy consumption is achieved, thereby achieving low accuracy in energy consumption supervision during safety supervision.

[0038] Furthermore, the specific process of processing the acquired storage environment data with the preset storage environment data to obtain the environmental evaluation value is as follows: obtaining the preset storage environment data of the storage space from the preset database, the preset storage environment data including preset temperature data and preset humidity data, the preset temperature data including preset minimum temperature and preset maximum temperature, the preset humidity data including preset minimum humidity and preset maximum humidity; obtaining the storage environment deviation of the storage space according to the relative relationship analysis between the storage environment data of the storage space and the preset storage environment data, the storage environment deviation including storage temperature deviation and storage humidity deviation, the storage temperature deviation represents the deviation of the storage temperature of the storage space from the preset temperature data, the storage humidity deviation represents the difference between the storage temperature of the storage space and the preset humidity data Deviation situation; determine whether the storage temperature deviation is within the preset temperature deviation range. If the storage temperature deviation is within the preset temperature deviation range, the storage temperature and ambient temperature of the storage space are processed to obtain a temperature evaluation value, otherwise the storage temperature deviation is processed to obtain a temperature evaluation value, and the temperature evaluation value is used to quantify the degree of compliance of the storage temperature of the storage space; determine whether the storage humidity deviation is within the preset humidity deviation range. If the storage humidity deviation is within the preset humidity deviation range, the storage humidity and ambient humidity of the storage space are processed to obtain a humidity evaluation value, otherwise the storage humidity deviation is processed to obtain a humidity evaluation value, and the humidity evaluation value is used to quantify the degree of compliance of the storage humidity of the storage space; sum the temperature evaluation value and the humidity evaluation value to obtain the environmental evaluation value.

[0039] Among them, the specific limiting expression of the environmental assessment value is:

[0040]

[0041]

[0042]

[0043] Where i represents the number of the preset time period, i = 1, 2, ..., T, T represents the total number of preset time periods, HU i It represents the environmental evaluation value of the storage space in the i-th preset time period, WEP i represents the storage temperature deviation of the storage space in the i-th preset time period, BWE i represents the ambient temperature in the i-th preset time period, SHP i represents the storage humidity deviation of the storage space in the i-th preset time period, BSH i Indicates the ambient humidity in the i-th preset time period, CWE i represents the storage temperature of the storage space in the i-th preset time period, CWI0 represents the preset minimum temperature of the storage space, CWA0 represents the preset maximum temperature of the storage space, and CSH i represents the storage humidity of the storage space in the i-th preset time period, CSI0 represents the preset minimum humidity of the storage space, and CSA0 represents the preset maximum humidity of the storage space.

[0044] In this embodiment, the preset storage environment data is obtained from a preset database, and the preset storage environment data is set according to the storage environment requirements of the stored items. For example, for the storage of vaccines, the temperature is generally required to be maintained between 2°C-8°C, and the humidity is maintained between 40% RH and 60% RH. The preset minimum temperature is 2°C, the preset maximum temperature is 8°C, the preset minimum humidity is 40% RH, and the preset maximum humidity is 60% RH; the preset temperature deviation range is set to [0, 1]; the preset humidity deviation range is set to [0, 1].

[0045] The increase in storage temperature of the storage space leads to a decrease in relative humidity in the air, because the higher the temperature, the stronger the air's ability to hold water vapor, and the relative humidity will decrease relatively, thus affecting the storage humidity; changes in ambient temperature affect the temperature of the storage space through the heat transfer effect; ambient humidity may also affect the storage humidity of the storage space through air exchange, especially in the case of air leakage; when the storage temperature and storage humidity are both within the preset range, and the closer the storage environment data is to the external environment data, it means that the current storage environment is suitable for the storage of stored items, and the lower the energy consumption, the greater the environmental assessment value; by monitoring the temperature and humidity of the storage environment, deviations are discovered in time and measures are taken to ensure that food and medicine are stored in the preset environment to avoid deterioration or failure due to substandard storage environment; by quantitatively evaluating the environmental assessment value, the safety of food and medicine is guaranteed and the efficiency of energy use is improved.

[0046] For example, the preset minimum temperature is 60°C, the preset maximum temperature is 70°C, the storage temperature is between 25°C and 57°C, the storage humidity is between 40%RH and 60%RH, and the ambient humidity is between 35%RH and 65%RH. Figure 2 As shown, it is a schematic diagram of the change of the environmental assessment value provided in an embodiment of the present application. When the storage humidity and the ambient humidity are 50% RH, the storage supervision assessment value increases with the increase of the storage temperature. When the storage temperature is 25°C and the ambient humidity is 50% RH, the storage supervision assessment value first increases and then decreases with the increase of the storage humidity. When the storage temperature is 25°C and the storage humidity is 50% RH, the storage supervision assessment value first increases and then decreases with the increase of the ambient humidity.

[0047] Furthermore, the specific process of determining whether to make environmental adjustments based on the environmental assessment value and the preset environmental assessment threshold is as follows: A1, determining whether the environmental assessment value is less than the preset environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, execute A2, otherwise no environmental adjustment is made; A2, determining whether the storage temperature is greater than the preset maximum temperature. If the storage temperature is greater than the preset maximum temperature, prompt the preset personnel to start the refrigeration equipment to reduce the storage temperature to the preset maximum temperature. Otherwise, determine whether the storage temperature is less than the preset minimum temperature. If the storage temperature is less than the preset minimum temperature, prompt the preset personnel to start the heating equipment to increase the storage temperature to the preset minimum temperature. Otherwise, execute A4; A3, after adjusting the storage temperature, re-acquire the storage environment data and external environment data of the storage space, and determine whether the environmental assessment value obtained after the temperature adjustment is less than the preset Set an environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, execute A4, otherwise the humidity of the storage space will not be adjusted; A4, determine whether the storage humidity is greater than the preset maximum humidity. If the storage humidity is greater than the preset maximum humidity, prompt the preset personnel to start the dehumidification equipment to reduce the storage humidity to the preset maximum humidity. Otherwise, determine whether the storage humidity is less than the preset minimum humidity. If the storage humidity is less than the preset minimum humidity, prompt the preset personnel to start the humidification equipment to increase the storage humidity to the preset minimum humidity. Otherwise, do not adjust the humidity; A5, after adjusting the storage humidity, re-acquire the storage environment data and external environment data of the storage space, determine whether the environmental assessment value obtained after the humidity adjustment is less than the preset environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, feedback is given to relevant personnel, otherwise the humidity of the storage space will not be adjusted.

[0048] In this embodiment, the storage temperature is the average value of the temperature of the storage space obtained at a preset time point within a preset time period, and the storage humidity is the average value of the humidity of the storage space obtained at a preset time point within the preset time period; the preset environmental assessment threshold is set by the maximum value of the environmental assessment value of the historical time period; the historical time period is set from the beginning of last month to the beginning of this month, for example, if it is currently August 11, then the historical time period is set from July 1 to August 1; refrigeration equipment and heating equipment are used to adjust the storage temperature of the storage space, such as air conditioners and heaters; dehumidification equipment and humidification equipment are used to adjust the storage humidity of the storage space, such as dehumidifiers and humidifiers; by evaluating the storage environment data and external environment data of the storage space, and adjusting the temperature and humidity according to the preset environmental assessment threshold, the environmental stability is improved, thereby ensuring the optimal state of the storage environment and improving the quality and safety of food and drugs.

[0049] Furthermore, the energy consumption data includes environmental energy consumption data and lighting energy consumption data; the environmental energy consumption data includes the voltage and current of the environmental control device, and the lighting energy consumption data includes the voltage, current, external environment brightness and lighting brightness of the lighting device. The environmental energy consumption data represents the average value corresponding to the voltage and current of the environmental control device obtained at a preset time point within a preset time period, and the lighting energy consumption data represents the average value of the initial lighting energy consumption data within the preset time period, and the average value corresponding to the voltage, current, external environment brightness and lighting brightness of the lighting device outside the storage space obtained at the preset time point; the environmental control device includes a temperature control device and a humidity control device; the temperature control device includes a refrigeration device and a heating device; the humidity control device includes a dehumidification device and a humidification device; the energy consumption evaluation value includes an environmental energy consumption evaluation value and a lighting energy consumption evaluation value; the environmental energy consumption evaluation value is used to quantify the usage status of the environmental control device; the lighting energy consumption evaluation value is used to quantify the usage status of the lighting device.

[0050] Among them, the specific method for obtaining the environmental energy consumption evaluation value is: obtaining the preset device data of the environmental control device from the preset database, the preset device data includes preset voltage, preset current and rated power, the preset voltage represents the average voltage corresponding to the device in the historical time period, the preset current represents the average current corresponding to the device in the historical time period, and the rated power represents the standard power level that the device should reach during normal operation; according to the relative relationship between the environmental energy consumption data of the environmental control device and the preset voltage and preset current corresponding to the environmental control device, the environmental average power coefficient is obtained, and the environmental average power coefficient represents the deviation between the energy consumption of the environmental control device and the average energy consumption; according to the relative relationship between the environmental energy consumption data of the environmental control device and the rated power corresponding to the environmental control device, the environmental load coefficient is obtained, and the environmental load coefficient is used to quantify the load state of the environmental control device; according to the relative relationship between the storage environment data of the storage space and the external environment data, the environmental deviation is obtained, and the environmental deviation represents the deviation between the storage environment data and the external environment data; the environmental average power coefficient, the environmental load coefficient and the environmental energy consumption coefficient are processed to obtain the environmental energy consumption evaluation value, and the environmental energy consumption evaluation value is used to quantify the use state of the environmental control device; the specific limiting expression of the environmental energy consumption evaluation value is:

[0051]

[0052]

[0053] Where i represents the number of the preset time period, i = 1, 2, ..., T, T represents the total number of preset time periods, n represents the number of the environmental control device, n = 1, 2, ..., N, N represents the total number of environmental control devices, WNH i.n represents the environmental energy consumption evaluation value of the nth environmental control device in the storage space in the i-th preset time period, DYi.n represents the voltage of the storage space in the i-th preset time period, DL i.n represents the current of the nth environmental control device in the storage space during the i-th preset time period, DY n.0 Indicates the preset current of the nth environmental control device, DL n.0 Indicates the preset voltage of the nth environmental control device, GL n.0 Indicates the preset power of the nth environmental control device, BWE i Indicates the ambient temperature in the i-th preset time period, BSH i Indicates the ambient humidity in the i-th preset time period, CWE i represents the storage temperature of the storage space in the i-th preset time period, CSH i represents the storage humidity of the storage space in the i-th preset time period, and α represents the environmental energy consumption coefficient of the storage space;

[0054] Among them, the specific method for obtaining the lighting energy consumption assessment value is: obtaining the preset equipment data of the lighting equipment from the preset database, the preset equipment data includes preset voltage, preset current and rated power, the preset voltage represents the average voltage corresponding to the equipment in the historical time period, the preset current represents the average current corresponding to the equipment in the historical time period, and the rated power represents the standard power level that the equipment should reach when working normally; according to the relative relationship between the voltage and current of the lighting equipment and the preset voltage and preset current corresponding to the lighting equipment, the lighting average power coefficient is obtained, and the lighting average power coefficient represents the deviation between the energy consumption of the lighting equipment and the average energy consumption; according to the relative relationship between the voltage, current and rated power of the lighting equipment, the lighting load coefficient is obtained, and the lighting load coefficient is used to quantify the load state of the lighting equipment; according to the relative relationship between the lighting brightness of the storage space and the external environment brightness, the lighting brightness deviation is obtained, and the lighting brightness deviation represents the deviation between the lighting brightness and the external environment brightness; the lighting average power coefficient, the lighting load coefficient and the lighting brightness deviation are processed to obtain the lighting energy consumption assessment value, and the lighting energy consumption assessment value is used to quantify the use state of the lighting equipment; the specific restriction expression of the lighting energy consumption assessment value is:

[0055]

[0056]

[0057] Where i represents the number of the preset time period, i = 1, 2, ..., T, T represents the total number of preset time periods, m represents the number of the lighting equipment, m = 1, 2, ..., M, M represents the total number of lighting equipment, MNH i Indicates the environmental energy consumption evaluation value of the storage space in the i-th preset time period, MDY i.mrepresents the voltage of the mth lighting device in the storage space during the i-th preset time period, MDL i.m represents the current of the mth lighting device in the storage space in the i-th preset time period, MDY m.0 Indicates the preset current of the mth lighting device, MDL m.0 Indicates the preset voltage of the mth lighting device, MGL m.0 Indicates the preset power of the mth lighting device, CWL i represents the lighting brightness of the storage space in the i-th preset time period, BWL i represents the external environment brightness of the storage space in the i-th preset time period, and β represents the lighting brightness deviation.

[0058] In this embodiment, the power monitor should be installed in the main distribution box or distribution box of the power line of the environmental control equipment and lighting equipment, which is conducive to directly monitoring the voltage and current of the equipment; the voltage and current at the preset time point within the preset time period are obtained by setting the preset time point of the power monitor, and the voltage and current of the preset time point within the preset time period are averaged to obtain the voltage and current of the preset time period; the voltage and current of the environmental control equipment and lighting equipment are the voltage and current of the preset time period; the light sensor of the external environment should be installed on the outside of the unobstructed food and drug storage space, and the light sensor inside the storage space is installed in the middle of the unobstructed wall; the external environment brightness and lighting brightness are obtained through the light sensor; by calculating the energy consumption evaluation value, the energy consumption status of the environmental control equipment and lighting equipment is quantified, which helps to understand the energy consumption efficiency and energy-saving potential of the equipment, and then realize the optimal management of the equipment energy consumption.

[0059] In a closed circuit, voltage is proportional to current, that is, the higher the voltage, the greater the current (when the resistance remains unchanged), the product of voltage and current is power, the greater the voltage and current, the greater the deviation between the energy consumption of the environmental control equipment and the average energy consumption, and the greater the environmental average power coefficient; the greater the voltage and current, the greater the load, the greater the environmental load coefficient, the greater the energy consumption may be, and therefore the smaller the environmental energy consumption assessment value and the lighting energy consumption assessment value; the closer the storage environment data is to the external environment data, the smaller the power required by the environmental control equipment, and therefore the smaller the required energy consumption, and the larger the environmental energy consumption assessment value; the closer the lighting brightness of the storage space is to the external environment brightness, the smaller the power required by the lighting equipment, and therefore the smaller the required energy consumption, and the larger the lighting energy consumption assessment value; the accurate and quantified use status of the environmental control equipment shows the effect of accurately assessing the environmental energy consumption assessment value, thereby avoiding subsequent mistakes caused by incorrect environmental energy consumption assessment values; the accurate and quantified use status of the lighting equipment shows the effect of accurately assessing the lighting energy consumption assessment value, thereby avoiding subsequent mistakes caused by incorrect lighting energy consumption assessment values.

[0060] Taking the preset time period numbered 1, the preset voltage as 220V, the preset current as 8A, and the rated power as 1000W as an example, the change statistics of the environmental energy consumption assessment value are shown in Table 1:

[0061] Table 1 Statistics of changes in environmental energy consumption assessment values

[0062]

[0063] From the table, it can be seen from the first and second groups of data that the greater the current of the environmental control device, the smaller the environmental energy consumption assessment value; from the first and third groups of data, it can be seen that the greater the voltage of the environmental control device, the smaller the environmental energy consumption assessment value; from the third and fourth groups of data, it can be seen that the greater the environmental energy consumption coefficient, the greater the environmental energy consumption assessment value; therefore, the environmental energy consumption assessment value is negatively correlated with the voltage and current, and the environmental energy consumption assessment value is positively correlated with the environmental energy consumption coefficient.

[0064] Furthermore, the preset energy consumption assessment threshold includes a preset environmental energy consumption threshold and a preset lighting energy consumption threshold; energy consumption adjustment includes adjusting environmental energy consumption and adjusting lighting energy consumption; the specific steps for determining whether to perform energy consumption adjustment based on the energy consumption assessment value and the preset energy consumption assessment threshold are: comparing the energy consumption assessment value with the corresponding preset energy consumption assessment threshold: if the energy consumption assessment value is less than the corresponding preset energy consumption assessment threshold, energy consumption adjustment is performed; if the energy consumption assessment value is not less than the corresponding preset energy consumption assessment threshold, energy consumption adjustment is not performed.

[0065] In this embodiment, the preset energy consumption assessment threshold is obtained from a preset database, the preset environmental energy consumption threshold is set by the average value of the environmental energy consumption assessment value in the historical time period, and the preset lighting energy consumption threshold is set by the average value of the lighting energy consumption assessment value in the historical time period; by monitoring the energy consumption data of environmental equipment and lighting systems, judging whether adjustment is needed according to the preset energy consumption threshold, and implementing the corresponding energy consumption adjustment strategy in a timely manner, the energy consumption of equipment in the food and drug storage space is effectively reduced, thereby achieving the reduction of energy waste in the food and drug storage space, and at the same time maintaining the efficient operation of the equipment in the food and drug storage space.

[0066] Furthermore, the specific process of adjusting the environmental energy consumption is as follows: C1, determine whether the environmental energy consumption evaluation value is less than the preset environmental energy consumption threshold. If the environmental energy consumption evaluation value is not less than the preset environmental energy consumption threshold, the environmental energy consumption is not adjusted, otherwise C2 is executed; C2, prompt the preset personnel to replace the environmental control equipment. When the monitored environmental control equipment operates abnormally, the operation of the corresponding environmental control equipment is stopped and feedback is given, otherwise C3 is executed. The abnormal operation means that the working power increases to a level greater than the average power of the environmental control equipment during operation within a preset time period; C3, prompt the preset personnel to reduce the number of environmental control equipment. When the working power of the environmental control equipment is monitored to be less than the corresponding rated power, the corresponding environmental control equipment is turned off, otherwise C4 is executed; C4, when the environmental energy consumption evaluation value of the preset time period is monitored to be not less than the preset environmental energy consumption threshold, the preset personnel are prompted to replace the high-energy consumption equipment with low-energy consumption equipment, otherwise C5 is executed; C5, when the ambient temperature is greater than the preset minimum temperature and less than the preset maximum temperature, the preset personnel are prompted to switch the temperature control equipment to energy-saving mode, otherwise feedback is given.

[0067] In this embodiment, the environmental energy consumption evaluation value of the preset time period represents the average value of the environmental energy consumption evaluation values ​​of all environmental control devices in the storage space within the preset time period; after excluding the environmental control devices in C3 whose working power is less than the corresponding rated power, the average values ​​of the environmental energy consumption evaluation values ​​of each environmental control device in all time periods are arranged in descending order to obtain high-energy consumption devices and low-energy consumption devices; low-energy consumption devices represent the first 10% of the environmental control devices in the environmental energy consumption evaluation value sequence of each environmental control device; high-energy consumption devices represent the last 10% of the environmental control devices in the environmental energy consumption evaluation value sequence of each environmental control device; if the environmental energy consumption evaluation value of the preset time period is not less than the preset environmental energy consumption threshold, the preset personnel is prompted to replace the high-energy consumption device with a low-energy consumption device.

[0068] The working power is the average power of the environmental control equipment obtained at a preset time point within a preset time period; when the working power of the equipment is less than its rated power, it means that the equipment may be over-operating or there is ineffective energy consumption, and the preset personnel will be prompted to shut down the equipment to reduce energy consumption; the ambient temperature is the average temperature outside the storage space obtained at a preset time point within a preset time period. When the ambient temperature is greater than the preset minimum temperature and less than the preset maximum temperature, it means that the ambient temperature can be fully utilized to reduce the dependence of the storage temperature on the temperature environment control equipment; by monitoring the power of the equipment, identifying and solving abnormal operating problems, and replacing faulty equipment in time to avoid additional energy consumption caused by reduced equipment efficiency; by shutting down equipment with power lower than the rated value, unnecessary equipment is avoided from wasting energy, ensuring that each device operates in the best condition; through the above steps, the environmental control equipment in the food and drug storage space provides the best operating effect with the lowest energy consumption, thereby reducing the energy consumption of equipment in the food and drug storage space and extending the life of the equipment.

[0069] Furthermore, the specific process of adjusting the lighting energy consumption is as follows: D1, determine whether the lighting energy consumption evaluation value is less than the preset lighting energy consumption threshold. If the lighting energy consumption evaluation value is not less than the preset lighting energy consumption threshold, then the lighting energy consumption is not adjusted, otherwise D2 is executed; D2, obtain the overlapping lighting area according to the lighting area of ​​each lighting device, if the lighting intensity of the overlapping lighting area is greater than the preset lighting brightness maximum value, then the preset personnel are prompted to reduce the number of lighting devices in the corresponding area until the lighting intensity of the overlapping lighting area is equal to the preset lighting brightness, otherwise D3 is executed; D3, prompt the preset personnel to adjust the operating time of the lighting equipment, the specific steps are to install an occupancy sensor in the storage space, automatically control the lighting equipment according to the activity status of the personnel, and when it is detected that there is no activity in the area, turn off the lighting equipment in the corresponding area, otherwise turn on the lighting equipment; D4, adjust the brightness of the lighting equipment according to the difference between the external environment brightness of the storage space and the preset lighting brightness of the storage space. When the external environment brightness is less than the preset lighting brightness of the storage space, the brightness of the lighting equipment is adjusted to the preset lighting brightness, otherwise the preset personnel are prompted to turn off the lighting equipment.

[0070] In this embodiment, the external environment brightness is the average brightness outside the storage space obtained at a preset time point within a preset time period; the overlapping lighting area represents an area illuminated by multiple lighting devices at the same time. In the same space, if multiple lighting devices illuminate the same position, it may cause energy waste; when possible, replace lighting devices with smaller beam angles and more precise coverage to reduce overlapping lighting. For example, three ceiling lights are installed, each with a beam angle of 120 degrees and a wide irradiation range. Due to the large beam angle, the irradiation areas of these lights create overlapping lighting areas on the ground and shelves, then the preset personnel are prompted to turn off the middle light, or replace the existing lighting fixtures with lamps with a beam angle of 60 degrees, thereby reducing the irradiation range of each lamp. The occupancy sensor is a sensing device used to detect whether there is human activity in the storage space. If the occupancy sensor detects that there is no human activity in the area, it is determined whether there is human activity in the area within the occupancy delay time. If there is no human activity, the lighting equipment in the corresponding area is turned off, otherwise the lighting equipment in the corresponding area is kept on; by detecting the activity of personnel, the switch of the lighting equipment is intelligently controlled to avoid the waste of lighting in the unmanned area for a long time; D3 and D4 are combined to optimize the lighting equipment; the external environment brightness represents the natural light brightness of the external environment of the storage space; the preset lighting brightness is obtained from the preset database, and the preset lighting brightness is set according to the use requirements. For example, for a storage space that requires high-brightness lighting, the preset lighting brightness is set to 1000l x; the maximum preset lighting brightness is set to 150% of the preset lighting brightness; by automatically adjusting the brightness of the internal lighting equipment according to the external environment brightness, it is helpful to make full use of natural light sources, reduce dependence on artificial lighting, further save energy, and reduce energy consumption; through the above steps, it is ensured that the maximum energy saving is achieved while meeting the lighting needs, thereby achieving the reduction of lighting power energy consumption and the extension of the life of lighting equipment in the food and drug storage space.

[0071] Furthermore, the specific method for comprehensively evaluating the storage energy consumption regulation according to the environmental assessment value after energy consumption adjustment and the energy consumption assessment value to obtain the storage regulation assessment value is as follows: the environmental assessment value obtained after adjustment is processed with the environmental assessment value obtained before adjustment to obtain the environmental adjustment coefficient, and the environmental adjustment coefficient is used to evaluate the effectiveness of the environmental adjustment; the environmental energy consumption assessment value obtained after adjustment is processed with the environmental energy consumption assessment value obtained before adjustment to obtain the environmental energy consumption adjustment coefficient, and the environmental energy consumption adjustment coefficient is used to evaluate the effectiveness of the environmental energy consumption adjustment; the lighting energy consumption assessment value obtained after adjustment is processed with the lighting energy consumption assessment value obtained before adjustment to obtain the lighting energy consumption adjustment coefficient, and the lighting energy consumption adjustment coefficient is used to evaluate the effectiveness of the lighting energy consumption adjustment; the environmental adjustment coefficient, the environmental energy consumption adjustment coefficient and the lighting energy consumption assessment value are summed to obtain the storage regulation assessment value; the specific restriction expression of the storage regulation assessment value is:

[0072] JG=sinh(e HTZ )+sinh(e HNT )+sinh(e ZNT );

[0073]

[0074]

[0075]

[0076] Wherein, i represents the number of the preset time period, i=1,2,...,T, T represents the total number of preset time periods, n represents the number of the environmental control device, n=1,2,...,N, N represents the total number of environmental control devices, m represents the number of the lighting device, m=1,2,...,M, M represents the total number of lighting devices, JG represents the storage supervision assessment value of the storage space, HTZ represents the environmental adjustment coefficient, HNT represents the environmental energy consumption adjustment coefficient, ZNT represents the lighting energy consumption assessment value, HU i ′ represents the adjusted environmental evaluation value of the storage space in the i-th preset time period, HU i WNH represents the environmental evaluation value of the storage space in the i-th preset time period. i.n WNH represents the environmental energy consumption evaluation value of the storage space of the nth environmental control device in the i-th preset time period. i.n ′ represents the adjusted environmental energy consumption evaluation value of the storage space of the nth environmental control device in the i-th preset time period, MNH i MNH represents the lighting energy consumption evaluation value of the storage space in the i-th preset time period. i ′ Represents the lighting energy consumption evaluation value after adjustment of the storage space in the i-th preset time period.

[0077] In this embodiment, the environmental assessment value obtained after adjustment represents the environmental assessment value obtained based on the storage environment data and the external environment data in a fixed time interval after adjustment; the environmental energy consumption assessment value obtained after adjustment represents the environmental energy consumption assessment value obtained based on the environmental energy consumption data in a fixed time interval after adjustment; the lighting energy consumption assessment value obtained after adjustment represents the lighting energy consumption assessment value obtained based on the lighting energy consumption data in a fixed time interval after adjustment; wherein, the fixed time interval is set to one hour after adjustment; by respectively evaluating the changes in the environment, environmental energy consumption and lighting energy consumption, the storage supervision assessment value of the food and drug storage space is effectively quantified, thereby achieving the improvement of the effectiveness of storage supervision of the food and drug storage space.

[0078] The algorithm of this embodiment combines the environmental assessment value obtained after adjustment, the environmental assessment value obtained before adjustment, the environmental energy consumption assessment value obtained after adjustment, the environmental energy consumption assessment value obtained before adjustment, the lighting energy consumption assessment value obtained after adjustment and the lighting energy consumption assessment value obtained before adjustment to obtain a storage supervision assessment value through comprehensive analysis. Each parameter is related to each other and does not exist independently. It is a whole and cannot be obtained by simple combination and addition. For example, an increase in the environmental assessment value obtained before adjustment in the formula may cause a decrease in the storage supervision assessment value, which does not necessarily mean a decrease in the storage supervision assessment value. At this time, it is also necessary to consider the environmental assessment value obtained after adjustment, the environmental energy consumption assessment value obtained after adjustment, the environmental energy consumption assessment value obtained before adjustment, the lighting energy consumption assessment value obtained after adjustment and the lighting energy consumption assessment value obtained before adjustment. These parameters can also determine the storage supervision assessment value at the next moment. Generally speaking, the adjusted environmental assessment value can reflect the effectiveness of environmental control measures. If the adjusted environmental assessment value is greater than the environmental assessment value before adjustment, it means that the adjustment is effective and the goal of optimizing the environment has been achieved. However, in order to improve the environmental assessment value, it may be necessary to adjust the environmental control equipment, which will lead to changes in environmental energy consumption. If the environmental adjustment is effective, but the environmental energy consumption assessment value increases significantly, it means that It is possible that more energy consumption has improved environmental conditions. On the contrary, if energy consumption is reduced and the environmental conditions have not deteriorated, it means that the adjustment is not only effective but also energy-saving. Most lighting equipment, especially traditional incandescent lamps and fluorescent lamps, will generate heat during operation. In a closed storage space, if the lighting equipment is turned on for a long time, the cumulative effect of heat will be more obvious, which may cause the temperature of the storage space to slowly rise. The heat emitted by the lighting equipment when it is working will eventually increase the temperature in the storage space through convection, conduction and radiation. The larger the adjusted environmental assessment value, environmental energy consumption assessment value and lighting energy consumption assessment value, the larger the storage supervision assessment value. The algorithm itself is obtained through comprehensive analysis, which can accurately and quantitatively analyze the effectiveness of storage environment and energy consumption adjustments, indicating the effect of accurately evaluating the storage supervision assessment value. Therefore, precise analysis is carried out by establishing a mathematical form.

[0079] Furthermore, the specific process of judging whether to make comprehensive adjustments based on the storage supervision evaluation value and the preset storage supervision evaluation threshold is as follows: B1, judging whether the storage supervision evaluation value is greater than the preset storage supervision evaluation threshold. If the storage supervision evaluation value is greater than the preset storage supervision evaluation threshold, no comprehensive adjustment is made, otherwise B2 is executed; B2, comparing the ambient temperature with the preset temperature range to obtain the ambient temperature deviation, judging whether the ambient temperature deviation is within the preset ambient temperature deviation range, if the ambient temperature deviation is within the preset ambient temperature deviation range, the temperature control device is not used, otherwise judging whether the ambient temperature deviation is less than 0, if the ambient temperature deviation is less than 0, prompting the preset personnel to use the temperature control device Adjust the storage temperature to the minimum value of the preset temperature range, otherwise prompt the preset personnel to adjust the storage temperature to the maximum value of the preset temperature range through the temperature control device; B3, compare the ambient humidity with the preset humidity range to obtain the ambient humidity deviation, and judge whether the ambient humidity deviation is within the preset ambient humidity deviation range. If the ambient humidity deviation is within the preset ambient humidity deviation range, do not use the humidity control device, otherwise judge whether the ambient humidity deviation is less than 0. If the ambient humidity deviation is less than 0, prompt the preset personnel to adjust the storage humidity to the minimum value of the preset humidity range through the humidity control device, otherwise prompt the preset personnel to adjust the storage humidity to the maximum value of the preset humidity range through the humidity control device;

[0080] Among them, the specific limiting expression of the ambient temperature deviation is:

[0081]

[0082] Where i represents the number of the preset time period, i = 1, 2, ..., T, T represents the total number of preset time periods, BCWE i Indicates the ambient temperature deviation in the i-th preset time period, BWE i represents the ambient temperature in the i-th preset time period, CWI0 represents the preset minimum temperature, and CWA0 represents the preset maximum temperature value;

[0083] The specific limiting expression of the ambient humidity deviation is:

[0084]

[0085] In the formula, BSHP i Indicates the ambient humidity deviation in the i-th preset time period, BSH i represents the ambient humidity in the i-th preset time period, CSI0 represents the preset minimum humidity, and CSA0 represents the preset maximum humidity.

[0086] In this embodiment, the external environment data represents the average value of the initial external environment data within a preset time period, and the initial external environment data includes the temperature and humidity outside the storage space obtained at a preset time point within the preset time period; the preset storage supervision evaluation threshold is obtained from a preset database, and the preset storage supervision evaluation threshold is set by the maximum value of the storage supervision evaluation value within the historical time period; the preset environment temperature deviation range and the preset environment humidity deviation range are set to [0, 1]; the preset personnel represent the personnel who perform actual operations according to the system prompts, such as warehouse managers; after environmental adjustment, the storage temperature is greater than the preset minimum temperature and less than the preset maximum temperature, and the storage humidity is greater than the preset minimum humidity and less than the preset maximum humidity; the closer the storage environment data is to the external environment data, the lower the energy consumption of the environmental control equipment; by adjusting the temperature and humidity of the storage environment of the food and drug storage space, it is ensured that the storage environment of the food and drug storage space is kept in the best state to reduce the equipment energy consumption of the food and drug storage space, thereby improving the stability and safety of food and drug storage and avoiding energy waste.

[0087] like Figure 3 As shown, it is a structural schematic diagram of a food and drug safety supervision and early warning system based on intelligent supervision provided in an embodiment of the present application. A food and drug safety supervision and early warning system based on intelligent supervision provided in an embodiment of the present application includes: an environmental assessment module, an energy consumption assessment module, a storage supervision assessment module and a comprehensive adjustment module; wherein the environmental assessment module is used to obtain storage environment data and external environment data of the storage space, and process the obtained storage environment data with the preset storage environment data to obtain an environmental assessment value, the storage environment data includes storage temperature and storage humidity, the external environment data includes ambient temperature and ambient humidity, the storage environment data represents the average value corresponding to the temperature and humidity of the storage space obtained at a preset time point within a preset time period, and the external environment data represents the temperature and humidity outside the storage space obtained at a preset time point within a preset time period. The average value corresponding to the humidity, the environmental assessment value is used to quantify the compliance degree of the storage environment data of the storage space; the energy consumption assessment module is used to determine whether to make environmental adjustments based on the environmental assessment value and the preset environmental assessment threshold. If environmental adjustments are made, the storage space is evaluated according to the energy consumption data after the environmental adjustment to obtain the energy consumption assessment value, and the energy consumption assessment value is used to quantify the equipment usage status of the storage space; the storage supervision assessment module is used to determine whether to make energy consumption adjustments based on the energy consumption assessment value and the preset energy consumption assessment threshold. If environmental adjustments are made, the storage energy consumption supervision is comprehensively evaluated according to the environmental assessment value and the energy consumption assessment value after the energy consumption adjustment to obtain the storage supervision assessment value, and the storage supervision assessment value is used to quantify the effectiveness of the energy consumption adjustment; the comprehensive adjustment module is used to determine whether to make comprehensive adjustments based on the storage supervision assessment value and the preset storage supervision assessment threshold.

[0088] In this embodiment, by conducting real-time evaluation of the storage environment and energy consumption of the food and drug storage space, the system can promptly discover situations where the storage environment or equipment energy consumption of the food and drug storage space does not meet the requirements, and make adjustments, thereby improving the system's response speed; on the premise of ensuring that the storage environment of the food and drug storage space meets the food and drug safety requirements, the system optimizes the energy consumption of the equipment in the food and drug storage space to ensure that energy is not wasted due to excessive use of equipment; through multiple evaluations and adjustments, the system ensures that the temperature and humidity in the storage space of the food and drug storage space are within the ideal range, avoiding environmental factors from affecting the safety of food and drugs; through the above steps, combined with environmental monitoring, energy consumption management and comprehensive evaluation of the food and drug storage space, the accuracy of energy consumption supervision and energy efficiency in the safety supervision of the food and drug storage space are improved.

[0089] To summarize, the embodiment of the present application determines whether to perform environmental adjustments by comparing the environmental assessment value obtained through storage of environmental data with the preset environmental assessment threshold, and then determines whether to perform energy consumption adjustments based on the energy consumption assessment value obtained based on the environmentally adjusted energy consumption data and the preset energy consumption assessment threshold. Subsequently, a storage supervision assessment value is obtained based on the environmental assessment value and the energy consumption assessment value after the energy consumption adjustment, and a judgment is made as to whether to perform comprehensive adjustments, thereby improving the efficiency of equipment use, and further achieving an improvement in the accuracy of energy consumption supervision during the safety supervision process, effectively solving the problem of low accuracy of energy consumption supervision during the safety supervision process in the prior art.

[0090] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0092] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0094] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0095] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A food and drug safety supervision early warning method based on intelligent supervision, characterized in that: The following steps are involved: S1, obtaining storage environment data and external environment data of the storage space, and processing the obtained storage environment data with preset storage environment data to obtain an environment evaluation value, wherein the storage environment data includes storage temperature and storage humidity, and the external environment data includes ambient temperature and ambient humidity, the storage environment data represents an average value corresponding to the temperature and humidity of the storage space obtained at a preset time point within a preset time period, and the external environment data represents an average value corresponding to the temperature and humidity outside the storage space obtained at a preset time point within a preset time period, and the environment evaluation value is used to quantify the conformity of the storage environment data of the storage space; S2, judging whether to perform environmental adjustment based on the environmental evaluation value and the preset environmental evaluation threshold, and if the environmental adjustment is performed, evaluating the storage space according to the energy consumption data after the environmental adjustment to obtain an energy consumption evaluation value, which is used to quantify the device usage status of the storage space; S3, judging whether to perform energy consumption adjustment based on the energy consumption evaluation value and the preset energy consumption evaluation threshold, and if performing environmental adjustment, comprehensively evaluating the storage energy consumption supervision according to the environmental evaluation value and the energy consumption evaluation value after the energy consumption adjustment to obtain a storage supervision evaluation value, wherein the storage supervision evaluation value is used to quantify the effectiveness of the energy consumption adjustment; S4: Determine whether to make a comprehensive adjustment based on the storage supervision evaluation value and a preset storage supervision evaluation threshold.

2. A food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 1, characterized in that: The specific process of processing the acquired storage environment data with the preset storage environment data to obtain the environmental assessment value is as follows: Acquire preset storage environment data of the storage space from a preset database, wherein the preset storage environment data includes preset temperature data and preset humidity data, wherein the preset temperature data includes a preset minimum temperature and a preset maximum temperature, and the preset humidity data includes a preset minimum humidity and a preset maximum humidity; The storage environment deviation of the storage space is obtained according to the relative relationship analysis between the storage environment data of the storage space and the preset storage environment data, wherein the storage environment deviation includes a storage temperature deviation and a storage humidity deviation, wherein the storage temperature deviation indicates the deviation between the storage temperature of the storage space and the preset temperature data, and the storage humidity deviation indicates the deviation between the storage temperature of the storage space and the preset humidity data; Determine whether the storage temperature deviation is within a preset temperature deviation range. If the storage temperature deviation is within the preset temperature deviation range, the storage temperature and the ambient temperature of the storage space are processed to obtain a temperature evaluation value. Otherwise, the storage temperature deviation is processed to obtain a temperature evaluation value, and the temperature evaluation value is used to quantify the compliance degree of the storage temperature of the storage space. Determine whether the storage humidity deviation is within a preset humidity deviation range. If the storage humidity deviation is within the preset humidity deviation range, the storage humidity and the ambient humidity of the storage space are processed to obtain a humidity evaluation value. Otherwise, the storage humidity deviation is processed to obtain a humidity evaluation value, and the humidity evaluation value is used to quantify the compliance degree of the storage humidity of the storage space. The temperature evaluation value and the humidity evaluation value are summed to obtain the environmental evaluation value.

3. The food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 1, characterized in that: The specific process of determining whether to perform environmental adjustment based on the environmental assessment value and the preset environmental assessment threshold is as follows: A1, determine whether the environmental assessment value is less than the preset environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, execute A2, otherwise no environmental adjustment is performed; A2, judging whether the storage temperature is greater than the preset maximum temperature, if the storage temperature is greater than the preset maximum temperature, prompting the preset personnel to start the refrigeration equipment to reduce the storage temperature to the preset maximum temperature, otherwise judging whether the storage temperature is less than the preset minimum temperature, if the storage temperature is less than the preset minimum temperature, prompting the preset personnel to start the heating equipment to increase the storage temperature to the preset minimum temperature, otherwise executing A4; A3, after adjusting the storage temperature, reacquire the storage environment data and external environment data of the storage space, and determine whether the environmental evaluation value obtained after the temperature adjustment is less than the preset environmental evaluation threshold. If the environmental evaluation value is less than the preset environmental evaluation threshold, execute A4, otherwise, do not adjust the humidity of the storage space; A4, judging whether the storage humidity is greater than the preset maximum humidity, if the storage humidity is greater than the preset maximum humidity, prompting the preset personnel to start the dehumidification equipment to reduce the storage humidity to the preset maximum humidity, otherwise judging whether the storage humidity is less than the preset minimum humidity, if the storage humidity is less than the preset minimum humidity, prompting the preset personnel to start the humidification equipment to increase the storage humidity to the preset minimum humidity, otherwise no humidity adjustment is performed; A5, after adjusting the storage humidity, re-acquire the storage environment data and external environment data of the storage space, and determine whether the environmental assessment value obtained after the humidity adjustment is less than the preset environmental assessment threshold. If the environmental assessment value is less than the preset environmental assessment threshold, feedback is given to relevant personnel, otherwise the humidity of the storage space is not adjusted.

4. A food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 1, characterized in that: The energy consumption data includes environmental energy consumption data and lighting energy consumption data; The environmental energy consumption data includes the voltage and current of the environmental control device, and the lighting energy consumption data includes the voltage, current, external environment brightness and lighting brightness of the lighting device. The environmental energy consumption data represents the average value of the voltage and current of the environmental control device obtained at a preset time point within a preset time period, and the lighting energy consumption data represents the average value of the voltage, current, external environment brightness and lighting brightness of the lighting device outside the storage space obtained at a preset time point within a preset time period; The environmental control equipment includes a temperature control equipment and a humidity control equipment; The temperature control equipment includes a refrigeration device and a heating device; The humidity control device includes a dehumidification device and a humidification device; The energy consumption assessment value includes an environmental energy consumption assessment value and a lighting energy consumption assessment value; The environmental energy consumption evaluation value is used to quantify the usage status of the environmental control equipment; The lighting energy consumption evaluation value is used to quantify the usage status of the lighting equipment.

5. The food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 1, characterized in that: The preset energy consumption assessment threshold includes a preset environmental energy consumption threshold and a preset lighting energy consumption threshold; The energy consumption adjustment includes adjusting the environmental energy consumption and adjusting the lighting energy consumption; The specific steps of determining whether to adjust energy consumption based on the energy consumption evaluation value and the preset energy consumption evaluation threshold are as follows: Compare the energy consumption assessment value with the corresponding preset energy consumption assessment threshold: If the energy consumption assessment value is less than the corresponding preset energy consumption assessment threshold, energy consumption adjustment is performed; If the energy consumption assessment value is not less than the corresponding preset energy consumption assessment threshold, no energy consumption adjustment is performed.

6. A food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 5, characterized in that: The specific process of adjusting environmental energy consumption is as follows: C1, determine whether the environmental energy consumption evaluation value is less than the preset environmental energy consumption threshold. If the environmental energy consumption evaluation value is not less than the preset environmental energy consumption threshold, the environmental energy consumption is not adjusted, otherwise C2 is executed; C2, prompts the preset personnel to replace the environmental control equipment. When the monitored environmental control equipment operates abnormally, the operation of the corresponding environmental control equipment is stopped and feedback is given. Otherwise, C3 is executed; C3, prompting the preset personnel to reduce the number of environmental control devices. When the working power of the environmental control device is monitored to be less than the corresponding rated power, the corresponding environmental control device is turned off, otherwise C4 is executed; C4: When the environmental energy consumption assessment value of the preset time period is monitored to be not less than the preset environmental energy consumption threshold, the preset personnel are prompted to replace the high-energy consumption equipment with low-energy consumption equipment, otherwise C5 is executed; C5, when the ambient temperature is greater than the preset minimum temperature and less than the preset maximum temperature, the preset personnel are prompted to switch the temperature control device to energy-saving mode, otherwise feedback is given.

7. A food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 5, characterized in that: The specific process of adjusting the lighting energy consumption is as follows: D1, judging whether the lighting energy consumption evaluation value is less than the preset lighting energy consumption threshold value, if the lighting energy consumption evaluation value is not less than the preset lighting energy consumption threshold value, then the lighting energy consumption is not adjusted, otherwise, D2 is executed; D2, obtaining the overlapping lighting area according to the lighting area of ​​each lighting device. If the lighting intensity of the overlapping lighting area is greater than the preset maximum lighting brightness, the preset personnel are prompted to reduce the number of lighting devices in the corresponding area until the lighting intensity of the overlapping lighting area is equal to the preset lighting brightness, otherwise, execute D3; D3, prompting the preset personnel to adjust the operating time of the lighting equipment; D4, adjusting the brightness of the lighting device according to the difference between the external environment brightness of the storage space and the preset lighting brightness of the storage space.

8. The food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 1, characterized in that: The specific method of comprehensively evaluating the storage energy consumption supervision according to the environmental evaluation value and the energy consumption evaluation value after energy consumption adjustment to obtain the storage supervision evaluation value is as follows: The environmental assessment value obtained after the adjustment is processed with the environmental assessment value obtained before the adjustment to obtain an environmental adjustment coefficient, and the environmental adjustment coefficient is used to evaluate the effectiveness of the environmental adjustment; The environmental energy consumption evaluation value obtained after adjustment is processed with the environmental energy consumption evaluation value obtained before adjustment to obtain an environmental energy consumption adjustment coefficient, wherein the environmental energy consumption adjustment coefficient is used to evaluate the effectiveness of the environmental energy consumption adjustment; The lighting energy consumption evaluation value obtained after adjustment is processed with the lighting energy consumption evaluation value obtained before adjustment to obtain a lighting energy consumption adjustment coefficient, wherein the lighting energy consumption adjustment coefficient is used to evaluate the effectiveness of the lighting energy consumption adjustment; The environmental adjustment coefficient, the environmental energy consumption adjustment coefficient and the lighting energy consumption assessment value are summed to obtain a storage supervision assessment value; The specific limiting expression of the storage supervision evaluation value is: JG=birth HTZ )+birth(e) HNT )+birth(e) ZNT ); Wherein, i represents the number of the preset time period, i=1,2,...,T, T represents the total number of preset time periods, n represents the number of the environmental control device, n=1,2,...,N, N represents the total number of environmental control devices, m represents the number of the lighting device, m=1,2,...,M, M represents the total number of lighting devices, JG represents the storage supervision assessment value of the storage space, HTZ represents the environmental adjustment coefficient, HNT represents the environmental energy consumption adjustment coefficient, ZNT represents the lighting energy consumption assessment value, HU i ′ represents the adjusted environmental evaluation value of the storage space in the i-th preset time period, HU i WNH represents the environmental evaluation value of the storage space in the i-th preset time period. i.n WNH represents the environmental energy consumption evaluation value of the storage space of the nth environmental control device in the i-th preset time period. i.n ′ represents the adjusted environmental energy consumption evaluation value of the storage space of the nth environmental control device in the i-th preset time period, MNH i MNH represents the lighting energy consumption evaluation value of the storage space in the i-th preset time period. i ′ Represents the lighting energy consumption evaluation value after adjustment of the storage space in the i-th preset time period.

9. A food and drug safety supervision early warning method based on intelligent supervision as claimed in claim 8, characterized in that: The specific process of determining whether to perform comprehensive adjustment based on the storage supervision evaluation value and the preset storage supervision evaluation threshold is as follows: B1, determine whether the storage supervision evaluation value is greater than the preset storage supervision evaluation threshold. If the storage supervision evaluation value is greater than the preset storage supervision evaluation threshold, no comprehensive adjustment is performed, otherwise B2 is executed; B2, comparing the ambient temperature with the preset temperature range to obtain the ambient temperature deviation, and judging whether the ambient temperature deviation is within the preset ambient temperature deviation range. If the ambient temperature deviation is within the preset ambient temperature deviation range, the temperature control device is not used. Otherwise, judging whether the ambient temperature deviation is less than 0. If the ambient temperature deviation is less than 0, prompting the preset personnel to adjust the storage temperature to the minimum value of the preset temperature range through the temperature control device. Otherwise, prompting the preset personnel to adjust the storage temperature to the maximum value of the preset temperature range through the temperature control device. B3, compare the ambient humidity with the preset humidity range to obtain the ambient humidity deviation, and determine whether the ambient humidity deviation is within the preset ambient humidity deviation range. If the ambient humidity deviation is within the preset ambient humidity deviation range, the humidity control device is not used. Otherwise, determine whether the ambient humidity deviation is less than 0. If the ambient humidity deviation is less than 0, prompt the preset personnel to adjust the storage humidity to the minimum value of the preset humidity range through the humidity control device. Otherwise, prompt the preset personnel to adjust the storage humidity to the maximum value of the preset humidity range through the humidity control device.

10. A food and drug safety supervision early warning system based on intelligent supervision, characterized in that: include: Environmental assessment module, energy consumption assessment module, storage supervision assessment module and comprehensive adjustment module; Wherein, the environmental assessment module is used to obtain storage environment data and external environment data of the storage space, and process the obtained storage environment data with preset storage environment data to obtain an environmental assessment value, wherein the storage environment data includes storage temperature and storage humidity, and the external environment data includes ambient temperature and ambient humidity, the storage environment data represents the average value of the temperature and humidity of the storage space obtained at a preset time point within a preset time period, and the external environment data represents the average value of the temperature and humidity outside the storage space obtained at a preset time point within a preset time period, and the environmental assessment value is used to quantify the degree of compliance of the storage environment data of the storage space; The energy consumption evaluation module is used to determine whether to perform environmental adjustment based on the environmental evaluation value and the preset environmental evaluation threshold. If environmental adjustment is performed, the storage space is evaluated according to the energy consumption data after the environmental adjustment to obtain an energy consumption evaluation value, and the energy consumption evaluation value is used to quantify the device usage status of the storage space; The storage supervision evaluation module is used to determine whether to adjust the energy consumption based on the energy consumption evaluation value and the preset energy consumption evaluation threshold. If the environment adjustment is performed, the storage energy consumption supervision is comprehensively evaluated according to the environment evaluation value and the energy consumption evaluation value after the energy consumption adjustment to obtain a storage supervision evaluation value, and the storage supervision evaluation value is used to quantify the effectiveness of the energy consumption adjustment; The comprehensive adjustment module is used to determine whether to perform comprehensive adjustment based on the storage supervision evaluation value and a preset storage supervision evaluation threshold.

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