A smart village integrated management system and its working method

Abstract

The present invention belongs to the technical field of smart breeding, and specifically relates to a smart village integrated management system and a working method thereof. The smart village integrated management system comprises: a breeding ecological environment monitoring module, a breeding execution module and a cloud platform; the present invention can realize real-time supervision of the animal husbandry ecological environment and intelligent temperature control, feeding and cleaning, and can overcome the problem of fluctuations in the data collection process of various data acquisition sensors, ensuring that the data collected by various data acquisition sensors are valid data, each data packet contains various sensor signals, and the integration of various sensor signals is realized, ensuring that the breeding execution module runs accurately and stably, avoiding the problem of frequent operation changes, improving the comfort of animals in the farm, and realizing precise control of animals. At the same time, the data packet is dynamically encrypted by the actual response time, which reduces the computing power requirements on the one hand and has a better encryption effect on the other hand.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart farming, and specifically relates to a smart village integrated management system and a working method thereof. Background Art

[0002] In the process of smart livestock breeding in rural areas, it is necessary to monitor the livestock ecological environment in real time, and intelligently link the facilities and equipment in the farm to perform temperature control, feeding, and cleaning.

[0003] In traditional management systems, various sensors directly transmit data to intelligent linkage devices, but the response time of each sensor is different. At the same time, there will be fluctuations in the data collection process of each sensor. The intelligent linkage device will start directly after receiving the triggering data. If it receives the next data with a higher priority and different from the current control instruction, the intelligent linkage device needs to change the instruction quickly, resulting in frequent changes in the operation of the intelligent linkage device. On the one hand, it will cause discomfort to the animals in the farm, and on the other hand, it will lead to reduced control accuracy, affecting the precise management and control of the animals.

[0004] In addition, since intelligent linkage equipment is used for intelligent animal breeding, the intelligent linkage equipment is intelligently controlled by data input from various sensors. If the intelligent linkage equipment is invaded, it only takes the input of wrong data to cause serious impact. Traditional intelligent linkage equipment needs to introduce additional encryption algorithms to encrypt the data input from various sensors, which requires high computing power for the intelligent linkage equipment.

[0005] Therefore, it is urgent to develop a new smart village comprehensive management system and its working method to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide a smart village integrated management system and a working method thereof.

[0007] In order to solve the above technical problems, the present invention provides a smart village integrated management system, which includes: an aquaculture ecological environment monitoring module, an aquaculture execution module and a cloud platform; wherein the aquaculture ecological environment monitoring module uploads various sensor signals to the cloud platform to obtain the actual response time when various sensor signals reach a stable peak value; the cloud platform simultaneously obtains various sensor signals to form a data packet within the actual response time, and the cloud platform encrypts the data packet according to the actual response time; the cloud platform determines whether various sensor signals in each data packet are normal by comparing at least two data packets; and the cloud platform sends corresponding control instructions to the aquaculture execution module through the data packet.

[0008] Specifically, the aquaculture ecological environment monitoring module includes: a number of data acquisition sensors; each of the data acquisition sensors uploads various types of sensor signals to the cloud platform respectively; a collection period is set to obtain the response time and response times corresponding to each of the data acquisition sensors within the collection period; the data acquisition sensor with the least response times within the collection period is obtained to calibrate the response time of the data acquisition sensor as the optimal response time; with the optimal response time as the reference point, the compensation time is obtained when the sensor signals collected by each of the data acquisition sensors after the reference point reach a stable peak value; the optimal response time is superimposed on the compensation time to obtain the actual response time.

[0009] Specifically, the cloud platform simultaneously acquires the sensing signals collected by each data acquisition sensor within the actual response time to form a corresponding data packet; the cloud platform forms a corresponding password string through the actual response time to encrypt the data packet with the password string.

[0010] Specifically, the cloud platform obtains the actual response time from the encrypted data packet to verify whether the data packet corresponds to each of the data acquisition sensors.

[0011] Specifically, when the original data acquisition sensor is replaced or a new data acquisition sensor is added, the cloud platform simultaneously obtains the sensor signals collected by each data acquisition sensor within the original actual response time to determine whether each sensor signal is complete; when the cloud platform determines that each sensor signal is complete, the cloud platform continues to use the original actual response time; when the cloud platform determines that any sensor signal is incomplete, the cloud platform re-acquires the actual response time of each data acquisition sensor.

[0012] Specifically, each type of sensing signal in a data packet is compared with the corresponding sensing signal in another data packet to determine whether each type of sensing signal in each data packet is normal.

[0013] Specifically, In the formula, τ R is the response time of the data acquisition sensor, f c is the closed-loop bandwidth of the operational amplifier in the data acquisition sensor, and T0 is the set compensation value.

[0014] Specifically, gas sensors, temperature and humidity sensors, PM2.5 sensors, light intensity sensors, smoke sensors, and cameras are set to collect gas sensing signals, temperature and humidity sensing signals, air particle concentration sensing signals, light intensity sensing signals, smoke concentration sensing signals, and image sensing signals, respectively.

[0015] Specifically, the breeding execution module includes: a fan, a feeder, and a cleaning machine; the cloud platform sends corresponding control instructions to the fan, the feeder, and the cleaning machine respectively through data packets.

[0016] On the other hand, the present invention provides a working method using the smart village comprehensive management system as mentioned above, which includes: uploading various sensor signals to the cloud platform through the breeding ecological environment monitoring module to obtain the actual response time when various sensor signals reach a stable peak; the cloud platform simultaneously obtains various sensor signals to form a data packet within the actual response time, and the cloud platform encrypts the data packet according to the actual response time; the cloud platform determines whether various sensor signals in each data packet are normal by comparing at least two data packets; the cloud platform sends corresponding control instructions to the breeding execution module through the data packet.

[0017] The beneficial effect of the present invention is that the present invention constructs a linkage channel between the breeding ecological environment monitoring module and the breeding execution module through the cloud platform, which can realize real-time supervision of the livestock ecological environment and intelligent temperature control, feeding, and cleaning. By obtaining the actual response time when various sensor signals reach a stable peak value and simultaneously obtaining various sensor signals to form a data packet within the actual response time, the problem of fluctuations in the data collection process of various data acquisition sensors can be overcome, and it is ensured that the data collected by various data acquisition sensors are valid data. Each data packet contains various sensor signals, and the integration of various sensor signals is realized, ensuring that the breeding execution module is accurate and stable. The problem of frequent operation changes is avoided, the comfort of animals in the farm is improved, and precise control of animals is realized. At the same time, the data packet is dynamically encrypted by the actual response time, which reduces the computing power requirements on the one hand and has a better encryption effect on the other.

[0018] Other features and advantages of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practicing the present invention.

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a workflow diagram of the smart village integrated management system of the present invention;

[0022] Figure 2 It is a principle block diagram of the smart village integrated management system of the present invention;

[0023] Figure 3 is a workflow diagram of obtaining actual response time of the present invention;

[0024] Figure 4 It is a schematic diagram of obtaining actual response time through various sensor signals of the present invention;

[0025] Figure 5 It is a workflow diagram for encrypting a data packet of the present invention;

[0026] Figure 6 It is a workflow diagram of replacing a data acquisition sensor or adding a new data acquisition sensor according to the present invention;

[0027] Figure 7 It is a structural block diagram of the smart village comprehensive management system of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Embodiment 1, in this embodiment, as Figures 1 to 7 As shown, this embodiment provides a smart village integrated management system, which includes: an aquaculture ecological environment monitoring module, an aquaculture execution module and a cloud platform; wherein the aquaculture ecological environment monitoring module uploads various sensor signals to the cloud platform to obtain the actual response time when various sensor signals reach a stable peak value; the cloud platform simultaneously obtains various sensor signals to form a data packet within the actual response time, and the cloud platform encrypts the data packet according to the actual response time; the cloud platform determines whether various sensor signals in each data packet are normal by comparing at least two data packets; and the cloud platform sends corresponding control instructions to the aquaculture execution module through the data packet.

[0030] In this embodiment, this embodiment constructs a linkage channel between the breeding ecological environment monitoring module and the breeding execution module through a cloud platform, which can realize real-time supervision of the livestock ecological environment and intelligent temperature control, feeding, and cleaning. By obtaining the actual response time when various sensor signals reach a stable peak value and simultaneously obtaining various sensor signals to form a data packet within the actual response time, it can overcome the problem of fluctuations in various data acquisition sensors during the data collection process, and ensure that the data collected by various data acquisition sensors are valid data. Each data packet contains various sensor signals, and the integration of various sensor signals is realized, ensuring that the breeding execution module is accurate and stable. The problem of frequent operation changes is avoided, the comfort of animals in the farm is improved, and precise control of animals is realized. At the same time, the data packet is dynamically encrypted by the actual response time, which reduces the computing power requirements on the one hand and has a better encryption effect on the other.

[0031] In this embodiment, the aquaculture ecological environment monitoring module includes: a number of data acquisition sensors; each of the data acquisition sensors uploads various types of sensor signals to the cloud platform respectively; a collection period is set to obtain the response time and response times corresponding to each of the data acquisition sensors within the collection period; the data acquisition sensor with the least response times within the collection period is obtained to calibrate the response time of the data acquisition sensor as the optimal response time; with the optimal response time as the reference point, the compensation time for the sensor signals collected by each of the data acquisition sensors after the reference point to reach a stable peak is obtained; the optimal response time is superimposed on the compensation time to obtain the actual response time.

[0032] Specifically, see Figure 3 , sensor signal 1, sensor signal 2, and sensor signal 3 all start collecting data from the origin. Then, the response time of sensor signal 2 is the longest and the number of responses is the least within the collection period. The time it takes for sensor signal 2 to respond once is the optimal response time, that is, the time from the origin to point a is the optimal response time. Taking point a as the reference point, sensor signal 1 and sensor signal 3 can both reach stable peak values ​​from point a to point b, that is, the time from point a to point b is the compensation time.

[0033] Specifically, it can be ensured that each data acquisition sensor can complete data transmission at least once within the optimal response time.

[0034] Specifically, taking the optimal response time as the reference axis and superimposing the compensation time, each data acquisition sensor can stably and effectively transmit data to the cloud platform within the actual response time range.

[0035] Specifically, since each data acquisition sensor has fluctuation problems during the data collection process, in order to improve the detection accuracy, the optimal response time is used as the reference point, and the compensation time for the sensor signals collected by each data acquisition sensor after the reference point to reach a stable peak is obtained, so that each data acquisition sensor can output data to the cloud platform stably and effectively.

[0036] In this embodiment, the cloud platform simultaneously acquires the sensor signals collected by each data acquisition sensor within the actual response time to form a corresponding data packet; the cloud platform forms a corresponding password string through the actual response time to encrypt the data packet with the password string.

[0037] Specifically, each data packet contains various types of sensor signals. The cloud platform can process various types of sensor signals at the same time and generate corresponding control instructions, so that the generated control instructions are more accurate rather than being determined by a certain type of sensor signal.

[0038] Specifically, since the password string is generated by the actual response time, and the actual response time is determined by the characteristics of each data acquisition sensor itself, it is possible to dynamically encrypt the data packet and improve the encryption effect.

[0039] In this embodiment, the cloud platform obtains the actual response time from the encrypted data packet to verify whether the data packet corresponds to each of the data acquisition sensors.

[0040] Specifically, the data packet includes a password string. When the data packet needs to be used, the actual response time can be directly obtained from the password string of the data packet, and mutual verification can be performed with each data acquisition sensor to improve data security.

[0041] In this embodiment, when the original data acquisition sensor is replaced or a new data acquisition sensor is added, the cloud platform simultaneously obtains the sensor signals collected by each data acquisition sensor within the original actual response time to determine whether each sensor signal is complete; when the cloud platform determines that each sensor signal is complete, the cloud platform continues to use the original actual response time; when the cloud platform determines that any sensor signal is incomplete, the cloud platform re-acquires the actual response time of each data acquisition sensor.

[0042] Specifically, the actual response time can quickly put new data acquisition sensors into use, and can also verify whether the new data acquisition sensors meet the usage requirements.

[0043] In this embodiment, each type of sensing signal in a data packet is compared with the corresponding sensing signal in another data packet to determine whether each type of sensing signal in each data packet is normal.

[0044] Specifically, when various sensor signals in a data packet change mostly or as a whole from the corresponding sensor signals in another data packet, it means that various sensor signals in the data packet are normal at this time; when various sensor signals in a data packet change only slightly or in very small part from the corresponding sensor signals in another data packet, it means that there are problems with some sensor signals in the data packet at this time.

[0045] In this embodiment, In the formula, τ R is the response time of the data acquisition sensor, f c is the closed-loop bandwidth of the operational amplifier in the data acquisition sensor, and T0 is the set compensation value to achieve fast calculation of the response time.

[0046] In this embodiment, a gas sensor, a temperature and humidity sensor, a PM2.5 sensor, a light intensity sensor, a smoke sensor, and a camera are provided to respectively collect gas sensing signals, temperature and humidity sensing signals, air particle concentration sensing signals, light intensity sensing signals, smoke concentration sensing signals, and image sensing signals.

[0047] In this embodiment, the farming execution module includes: a fan, a feeder, and a cleaning machine; the cloud platform sends corresponding control instructions to the fan, the feeder, and the cleaning machine respectively through data packets.

[0048] Example 2. Based on Example 1, this example provides a working method using the smart village integrated management system provided in Example 1, which includes: uploading various sensor signals to the cloud platform through the breeding ecological environment monitoring module to obtain the actual response time when various sensor signals reach a stable peak value; the cloud platform simultaneously obtains various sensor signals to form a data packet within the actual response time, and the cloud platform encrypts the data packet according to the actual response time; the cloud platform determines whether various sensor signals in each data packet are normal by comparing at least two data packets; the cloud platform sends corresponding control instructions to the breeding execution module through the data packet.

[0049] To sum up, the present invention constructs a linkage channel between the breeding ecological environment monitoring module and the breeding execution module through a cloud platform, which can realize real-time supervision of the livestock ecological environment and intelligent temperature control, feeding, and cleaning. By obtaining the actual response time for various sensor signals to reach a stable peak value and simultaneously obtaining various sensor signals to form a data packet within the actual response time, it can overcome the problem of fluctuations in the data collection process of various data acquisition sensors, ensure that the data collected by various data acquisition sensors are valid data, and each data packet contains various sensor signals to achieve integration of various sensor signals, ensure that the breeding execution module is accurate and stable, avoid the problem of frequent operation changes, improve the comfort of animals in the farm, and realize precise control of animals. At the same time, the data packet is dynamically encrypted by the actual response time, which reduces the computing power requirements on the one hand and has a better encryption effect on the other.

[0050] The various devices selected in this application (components whose specific structures are not described) are all universal standard parts or components known to technical personnel in this field, and their structures and principles can be known to technical personnel through technical manuals or through conventional experimental methods.

[0051] In the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0052] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0053] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0054] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0055] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0056] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A smart village integrated management system, characterized in that: include: Aquaculture ecological environment monitoring module, aquaculture execution module and cloud platform; in The aquaculture ecological environment monitoring module uploads various sensor signals to the cloud platform to obtain the actual response time when various sensor signals reach a stable peak value; The cloud platform simultaneously acquires various sensor signals to form a data packet within the actual response time, and the cloud platform encrypts the data packet according to the actual response time; The cloud platform determines whether various sensor signals in each data packet are normal by comparing at least two data packets; as well as The cloud platform sends corresponding control instructions to the breeding execution module through data packets; The aquaculture ecological environment monitoring module includes: a number of data acquisition sensors; Each of the data acquisition sensors uploads various sensor signals to the cloud platform respectively; Setting a collection period to obtain the response time and response times corresponding to each of the data collection sensors within the collection period; Acquire the data acquisition sensor with the least number of responses within an acquisition cycle, so as to calibrate the response time of the data acquisition sensor as the optimal response time; Taking the optimal response time as a reference point, obtaining the compensation time for the sensor signals collected by each data acquisition sensor after the reference point to reach a stable peak value; The optimal response time is superimposed with the compensation time to obtain the actual response time; The cloud platform simultaneously acquires the sensor signals collected by each data collection sensor within the actual response time to form a corresponding data packet; The cloud platform forms a corresponding password string through the actual response time, so as to encrypt the data packet with the password string; The cloud platform obtains the actual response time from the encrypted data packet to verify whether the data packet corresponds to each of the data acquisition sensors; When the original data acquisition sensor is replaced or a new data acquisition sensor is added, the cloud platform simultaneously obtains the sensor signals collected by each data acquisition sensor within the original actual response time to determine whether each sensor signal is complete; When the cloud platform determines that each sensor signal is complete, the cloud platform continues to use the original actual response time; When the cloud platform determines that any sensor signal is incomplete, the cloud platform reacquires the actual response time of each data acquisition sensor; Compare each type of sensor signal in a data packet with the corresponding sensor signal in another data packet to determine whether each type of sensor signal in each data packet is normal; In the formula, τ R is the response time of the data acquisition sensor, f c is the closed-loop bandwidth of the operational amplifier in the data acquisition sensor, and T0 is the set compensation value.

2. The smart village integrated management system according to claim 1, characterized in that: Gas sensors, temperature and humidity sensors, PM2.5 sensors, light intensity sensors, smoke sensors, and cameras are set up to collect gas sensor signals, temperature and humidity sensor signals, air particle concentration sensor signals, light intensity sensor signals, smoke concentration sensor signals, and image sensor signals, respectively.

3. The smart village integrated management system according to claim 1, characterized in that: The farming execution module includes: a fan, a feeder, and a cleaning machine; The cloud platform sends corresponding control instructions to the fan, feeder and cleaner respectively through data packets.

4. A working method using the smart village integrated management system according to any one of claims 1 to 3, characterized in that: include: Upload various sensor signals to the cloud platform through the aquaculture ecological environment monitoring module to obtain the actual response time when various sensor signals reach a stable peak value; The cloud platform simultaneously obtains various sensor signals to form data packets within the actual response time, and the cloud platform encrypts the data packets according to the actual response time; The cloud platform determines whether the various sensor signals in each data packet are normal by comparing at least two data packets; The cloud platform sends corresponding control instructions to the breeding execution module through data packets.

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