Biological toxicity detection system based on big data technology

Abstract

The present invention relates to a biological toxicity detection system based on big data technology, including multiple biological toxicity detectors, a big data platform and a monitoring display terminal, wherein the biological toxicity detectors, the big data platform and the monitoring display terminal are connected in communication with each other, the biological toxicity detectors detect water quality biological toxicity, form detection data and analyze and process the detection data to form processing results, and transmit the processing results to the big data platform at the same time, the big data platform integrates the processing results of each biological toxicity detector to form a toxicity comparison database, and shares the data in the toxicity comparison database to each biological toxicity detector; the monitoring display terminal receives the processing results from the biological toxicity detector or receives the processing results via the big data platform, and displays the processing results and remotely monitors the toxicity detectors at the same time. The present invention greatly improves the efficiency of water quality biological toxicity detection.

Description

[Technical field]

[0001] The present invention relates to Internet of Things application technology, and in particular to a biological toxicity detection system based on big data technology. [Background technology]

[0002] After the 1980s, water pollution became increasingly complex, and pollution accidents caused by heavy metals and organic poisons occurred frequently, which attracted great attention from both at home and abroad to water quality ecology and biological safety. Since the pollutants contained in water bodies vary greatly, physical and chemical indicators only reflect the content of a small part of the pollutants in the water body, and it is impossible to make a comprehensive evaluation of the pollution status of all pollutants. Physical and chemical analysis methods such as toxic pollutant determination and concentration analysis can no longer solve the problem of water quality safety evaluation. Water quality biological toxicity detection is to detect water quality by judging the biological activity of specific aquatic organisms (such as luminous bacteria, algae, fleas, fish, etc.). When aquatic organisms encounter toxic pollutants or water quality deterioration, they will change their behavior autonomously (such as escape, decreased activity, and even death, etc.). Therefore, by detecting the activity of aquatic organisms and combining physical and chemical analysis methods, it is possible to effectively achieve early warning of the degree of water pollution.

[0003] my country's water quality biological toxicity detection technology has developed rapidly, and automatic early warning detection systems have been widely used. Water quality biological toxicity detection instruments usually select conventional five parameters (i.e. temperature, pH value, turbidity, oxygen content, conductivity), ammonia nitrogen, permanganate index, phenols, total organic carbon, total nitrogen, total phosphorus and other physical and chemical indicators. At present, water quality biological toxicity detection instruments can theoretically respond to more than 5,000 toxic pollutants, but in practice, due to the limited technology of manufacturers, a single instrument can only have a certain response relationship to a limited number of dozens of toxic pollutants, and each instrument is independent of each other and cannot be remotely managed. The relevant data of toxic pollutants responded by a single instrument cannot be updated and shared in real time, resulting in incomplete detection and great waste of resources. Therefore, how to achieve timely and rapid update and sharing of relevant processing results in water quality biological toxicity detection instruments and remote monitoring of biological toxicity detection instruments to improve detection efficiency is a problem that technicians in this field need to solve urgently. [Summary of the invention]

[0004] In order to overcome the technical difficulties that it is difficult to timely and quickly update and share the processing results in the existing automatic water quality detection instruments and cannot remotely monitor the biological toxicity detection instruments to improve the detection efficiency, the present invention provides a biological toxicity detection system based on big data technology.

[0005] The solution to the technical problem of the present invention is to provide a biological toxicity detection system based on big data technology, including multiple biological toxicity detectors, a big data platform and a monitoring display terminal. The biological toxicity detectors, the big data platform and the monitoring display terminal are communicatively connected with each other. The biological toxicity detector detects the biological toxicity of water quality, forms detection data and analyzes and processes the detection data to form processing results, and transmits the processing results to the big data platform at the same time. The big data platform integrates the processing results of each biological toxicity detector to form a toxicity comparison database, and shares the data in the toxicity comparison database with each biological toxicity detector; the monitoring display terminal receives the processing results from the biological toxicity detector or receives the processing results via the big data platform, and displays the processing results and remotely monitors the toxicity detector.

[0006] Preferably, the biological toxicity detector includes a central processing unit and a storage unit, the central processing unit is an ARM processor, the Linux operating system runs on the ARM processor, the storage unit is used to store the detection data and the data in the toxicity comparison database, and the central processing unit controls the biological toxicity detector to share the data in the toxicity comparison database to the storage unit.

[0007] Preferably, the biological toxicity detector detects the biological toxicity of water quality by detecting the luminescence intensity of luminescent bacteria in the luminescent bacteria mixture. The biological toxicity detector further includes a detection unit. The central processing unit is electrically connected to the detection unit. The central processing unit controls the detection unit to detect the luminescence intensity of luminescent bacteria in the luminescent bacteria mixture to form detection data and store the detection data in a storage unit.

[0008] Preferably, a standard preset threshold of luminous intensity is set in the storage unit, and the biological toxicity detector also includes an early warning unit, which is electrically connected to the central processing unit. The early warning unit includes a speaker and an LED light. The detection data is compared with the standard preset threshold under the control of the central processing unit. When the detection data exceeds the standard preset threshold, the central processing unit controls the early warning unit to alarm, so that the speaker emits an alarm sound and the LED light is always on.

[0009] Preferably, the biological toxicity detector also includes an analysis and processing unit, which is electrically connected to a central processing unit. The central processing unit controls the analysis and processing unit to retrieve the detection data in the storage unit and perform graphical processing on the detection data to obtain the processing result, which is stored in the storage unit.

[0010] Preferably, the graphical processing of the analysis and processing unit is to obtain the luminescence inhibition rate according to the detection data, and to obtain an inhibition curve according to the luminescence inhibition rate, and the inhibition curve is the processing result.

[0011] Preferably, the biological toxicity detector also includes a comparison unit, which is electrically connected to a central processing unit. The central processing unit retrieves processing results and data in a toxicity comparison database from a storage unit to the comparison unit. The comparison unit performs a fitting comparison on the processing results and the data in the toxicity comparison database to determine the type of toxic pollutants.

[0012] Preferably, the biological toxicity detector also includes a transmission unit, which is electrically connected to the central processing unit, and the transmission unit is communicatively connected to the big data platform and the monitoring display terminal. The biological toxicity detector transmits the processing results in the storage unit to the big data platform or the monitoring display terminal via the transmission unit, and the biological toxicity detector receives monitoring information from the monitoring display terminal via the transmission unit.

[0013] Preferably, the monitoring and display terminal includes a server, and the server is communicatively connected to the plurality of biological toxicity detectors.

[0014] Preferably, the monitoring and display terminal further comprises a monitoring unit and a display unit, wherein the monitoring unit and the display unit are electrically connected to the server, the monitoring unit can remotely monitor the biological toxicity detector, and the display unit is used to display the processing result.

[0015] Compared with the prior art, the biological toxicity detection system based on big data technology of the present invention has the following beneficial effects:

[0016] 1. Each biological toxicity detector can theoretically respond to more than 5,000 toxic pollutants, but in practice, due to the limited technical strength of each manufacturer, one instrument can only have a certain response relationship to a limited number of dozens of toxicities. The single instruments are independent of each other, resulting in a great waste of resources. The present invention integrates the processing results of multiple biological toxicity detectors through a big data platform to obtain the latest and most comprehensive toxicity comparison database, and updates the data in the toxicity comparison database to share with the biological toxicity detector at any time, so that the detection range of the biological toxicity detector is more comprehensive. If the biological toxicity detector responds to an uncertain new toxic pollutant, the biological toxicity detector will add the processing results formed by the toxic pollutant to the data in the toxicity comparison database as a data comparison template for the next processing result, thereby greatly improving work efficiency. The monitoring display terminal conducts real-time multi-channel data communication with the biological toxicity detector, which can not only view the processing results of the on-site biological toxicity detector in real time and grasp the on-site situation at any time, but also conduct real-time remote monitoring of the entire detection process of the on-site biological toxicity detector, greatly improving work efficiency.

[0017] 2. The central processing unit of the biological toxicity detector adopts an ARM processor, and the Linux operating system runs on the ARM processor. The storage unit of the biological toxicity detector is used to store the data in the toxicity comparison database. The ARM processor controls the automatic update of the data in the toxicity comparison database. When the data in the toxicity comparison database is updated, the biological toxicity detector can update the data in the toxicity comparison database without stopping the whole machine, thereby ensuring that the biological toxicity detector is online in real time and improving work efficiency.

[0018] 3. The biological toxicity detector detects the biological toxicity of water quality by detecting the luminous intensity of the luminous bacteria in the luminous bacteria mixture, and the luminous intensity forms the processing result. The luminous intensity of the luminous bacteria is used as the basis for judging the biological toxicity of water quality in the water body. The detection method is fast and convenient, and the detection can be repeated many times. The influence of water bodies containing different concentrations of the same toxic pollutant on the luminous intensity of the luminous bacteria can be detected. The detection data is obtained by the detection unit, and the analysis and processing unit calculates the luminous inhibition rate based on the luminous intensity in the monitoring data, and draws the luminous inhibition rate corresponding to multiple luminous intensities into a graphical inhibition curve. The inhibition curve is intuitive and clear, and is convenient for fitting and comparison. The inhibition curves of known toxic pollutants are integrated together on the big data platform to form a toxicity comparison database. The data in the toxicity comparison database is transmitted to the biological toxicity detector through the transmission module and stored in the storage unit. The comparison module can call the data in the toxicity comparison database at any time to fit and compare with the processing results, so as to quickly check and confirm toxic pollutants.

[0019] 4. According to the location of the biological toxicity detector, the distance of the transmission, and the different requirements of the transmission rate, the transmission module adopts different transmission modes. For areas with developed networks, the biological toxicity detector is directly connected to the Internet. For biological toxicity detectors in remote areas, they can be connected to the local local area network and then connected to the Internet through the main gateway of the local area network. Zigbee networking technology is a short-range, low-complexity, low-power, low-rate, low-cost two-way wireless communication technology with the advantages of low cost, short delay, and high capacity. In areas where there is no local area network, the biological toxicity detector can transmit the processing results through built-in cellular networks such as 2G, 3G, and 4G technologies, and update the data in the latest toxicity comparison database of the processing module to the biological toxicity detector through some expansion interfaces such as USB interfaces and TypeC interfaces. The diversification of the transmission mode of the transmission module meets the transmission requirements of the biological toxicity detector in different regions, making the present invention applicable to more waters and broadening the detection range of the present invention.

Brief Description of the Drawings

[0020] Figure 1 This is a schematic diagram of the principle framework of the biological toxicity detection system based on big data technology.

[0021] Figure 2 It is a schematic diagram of the principle framework of the biological toxicity detector.

[0022] Figure 3 It is NH4 + Schematic diagram of the inhibition curve.

[0023] Figure 4 It is PO4 3- Schematic diagram of the inhibition curve. [Specific implementation method]

[0024] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0025] See also Figure 1The present invention provides a biological toxicity detection system 1 based on big data technology, including multiple biological toxicity detectors 10, a big data platform 20 and a monitoring display terminal 30. The biological toxicity detectors 10, the big data platform 20 and the monitoring display terminal 30 are connected in communication with each other. The biological toxicity detectors 10 can be distributed in various different areas to detect the water quality in different areas. Specifically, they can detect the comprehensive toxicity of toxic pollutants in water bodies to aquatic biological groups in real time (hereinafter referred to as water quality biological toxicity) to generate detection data, analyze and process the detection data to form processing results, and transmit each processing result to the big data platform 20 and the monitoring display terminal 30. The big data platform 20 receives each processing result and integrates it to form the latest toxicity comparison database, so that the biological toxicity detector 10 can download and share the data in the latest toxicity comparison database to each biological toxicity detector. The monitoring display terminal 30 receives the processing results of the detection data of the biological toxicity detector 10, and can also download the data processing results in the toxicity comparison database from the big data platform 20. At the same time, the monitoring and display terminal 30 can display the processing results of the biological toxicity detector 10 in real time and remotely monitor the biological toxicity detector 10. Specifically, the user can use the monitoring and display terminal 30 to review the test data analysis results obtained by any biological toxicity detector 10 at any time, so as to understand the changes in the biological toxicity of the water quality in the water area detected by the biological toxicity detector 10 in real time, and to facilitate the rapid investigation and confirmation of whether the biological toxicity of the water quality in the water area detected by the biological toxicity detector 10 has changed, and take timely response measures. If the staff finds that a biological toxicity detector 10 in a certain area has an alarm on the monitoring and display terminal 10, the staff can review the alarm information in time, and send a false alarm detection instruction to the biological toxicity detector 10 through the monitoring and display terminal 30 to prevent the occurrence of false alarms. When the biological toxicity detector 10 confirms that the alarm is not a false alarm, the staff can take corresponding measures in time. If the staff receives abnormal alarms from different biological toxicity detectors 10 in different regions at the monitoring display terminal 30 at the same time, the staff can simultaneously review the processing results of the biological toxicity detectors 10 in different regions for comprehensive comparative analysis to make correct judgments and take corresponding countermeasures.

[0026] Furthermore, the biological toxicity detector 10 can transmit the data in the latest toxicity comparison database in the big data platform 20 to the biological toxicity detector 10 as comparison data for the subsequent detection process of the biological toxicity detector 10, so as to facilitate the rapid screening and confirmation of toxic pollutants in the water body at the site of the biological toxicity detector 10 and take timely response measures.

[0027] Each biological toxicity detector 10 is connected to the big data platform 20 and the monitoring display terminal 30 for communication, and is used to transmit processing results and monitoring information. The signal generated in the process of transmitting the processing results formed by the biological toxicity detector 10 from the biological toxicity detector 10 to the big data platform 20 or the monitoring display terminal 30 is called an uplink signal, and the signal generated in the process of transmitting monitoring information from the monitoring display terminal 30 to the biological toxicity detector 10 or transmitting the data in the toxicity comparison database in the big data platform 20 from the big data platform 20 to the biological toxicity detector 10 is called a downlink signal. The uplink signal and the downlink signal are transmitted in opposite directions and do not interfere with each other during the transmission process, which is called bidirectional transmission. The data transmission method between each biological toxicity detector 10 and the big data platform 20 and the monitoring display terminal 30 is bidirectional transmission, so that through the monitoring display terminal 30, it is possible to understand and monitor the local water quality in real time without going to the field for field investigation. Specifically, code division multiplexing technology, frequency division multiplexing technology or time division multiplexing technology can be used to realize bidirectional transmission of uplink and downlink signals. Frequency division multiplexing technology realizes non-interference transmission between signals by placing uplink and downlink signals on different transmission frequency bands; time division multiplexing technology transmits uplink and downlink signals on the same transmission frequency band but uses different transmission time periods to realize staggered non-interference transmission of uplink and downlink signals in different time periods.

[0028] There are many methods for detecting biological toxicity of water quality, such as fish toxicity detection method, algae toxicity detection method, flea toxicity detection method and microbial toxicity detection method. Microbial toxicity detection method usually uses luminous bacteria as the object of toxicity detection. Its principle is as follows: luminous bacteria can emit light of a certain wavelength under normal conditions. Toxic pollutants in the water body will inhibit the luminous intensity of luminous bacteria. By detecting the change of the luminous intensity of luminous bacteria, the degree of pollution of the water body can be determined. The luminescence inhibition rate is used to characterize the degree to which the luminous intensity of luminous bacteria is inhibited by toxic pollutants. The present invention takes the microbial toxicity detection method as an example and combines it with physical and chemical analysis methods to explain the detection, storage, early warning, transmission, analysis and processing in the process of water quality biological toxicity detection and data update in the toxicity comparison database.

[0029] Please also read Figure 2The biological toxicity detector 10 of the present invention includes a central processor 101 and a detection unit 102, a storage unit 103, an early warning unit 104, an analysis and processing unit 105, a viewing unit 106, a comparison unit 107 and a transmission unit 108 electrically connected to the central processor 101. The central processor 101 controls each unit to realize corresponding functions. In this embodiment, the central processor 101 is an ARM processor, and a Linux operating system is run on the ARM processor. The data in the toxicity comparison database is stored in the storage unit 103 under the control of the Linux operating system. The central processor 101 controls the biological toxicity detector 10 to download and share the latest data in the toxicity comparison database to the storage unit 103 of each biological toxicity detector. Specifically, the database type of the toxicity comparison database in the storage unit 103 can be an oracle database or a mysql database, and the script language is written to the oracle database or the mysql database through the language command of the structured query language (Structured Query Language, referred to as SQL language) to realize the automatic update of the data in the oracle database or the mysql database. During the automatic updating of data in the toxicity comparison database, the biological toxicity detector 10 can work normally, thereby ensuring that the biological toxicity detector 10 is online in real time and improving the detection efficiency of the biological toxicity detector 10 .

[0030] The detection unit 102 is electrically connected to the central processing unit 101, and the central processing unit controls the detection unit 102 to detect the luminous intensity of the luminous bacteria in the luminous bacteria mixed solution to form detection data and store the detection data in the storage unit 103. The detection process of the detection unit 102 is as follows: first, the water body to be detected is temperature controlled. Since the biological activity of the luminous bacteria is greatly affected by the ambient temperature, under low temperature environment, the biological activity of the luminous bacteria is low, the metabolism rate is slow, and the luminous intensity is relatively reduced. Under high temperature environment, the luminous intensity of the luminous bacteria will not only become low, but the luminous bacteria may also be killed by heat, so the water body to be detected is temperature controlled so that the water temperature of the water body to be detected is maintained within the temperature range required for the normal luminescence of the luminous bacteria. Then the water body to be detected and the culture solution of the luminous bacteria are mixed in proportion to form the luminous bacteria mixed solution. The luminous bacteria mixed solution is placed in a closed culture dish for cultivation, and the luminous intensity of the luminous bacteria is detected during the cultivation process, thereby obtaining the detection data. It should be stated that although the present invention takes the microbial toxicity detection method as an example to illustrate the detection, storage, early warning, transmission, comprehensive analysis of the processing results in the water quality biological toxicity detection process and the data update in the toxicity comparison database, the present invention can also use other detection methods to detect water quality biological toxicity, such as fish toxicity detection method, algae toxicity detection method and flea toxicity detection method.

[0031] The storage unit 103 is provided with a standard preset threshold value of the luminous intensity. Under the control of the central processor, the storage unit 103 compares each detection data with the standard preset threshold value set in the storage unit 103. If the detection data does not exceed the standard preset threshold value, the early warning unit 104 will not be triggered. If the detection data exceeds the standard preset threshold value stored in the storage unit 103, the central processor 101 controls the early warning unit to alarm, and the early warning unit 104 will sound an alarm. The early warning unit 104 includes a speaker and an LED light. When the early warning unit 104 is triggered to alarm, the speaker sounds an alarm, and the LED light is always on, reminding the on-site staff that the biological toxicity of the water quality has exceeded the preset threshold value, so that the on-site staff can further confirm and process it in a timely and effective manner, and at the same time notify the monitoring display terminal 30, and transmit the corresponding processing results to the monitoring display terminal 30, so that the monitoring display terminal 30 can view the processing results and take effective countermeasures in a timely manner.

[0032] Under the control of the central processing unit 101, the analysis and processing unit 105 retrieves the detection data in the storage unit 103, and performs comprehensive analysis and processing on the detection data. The analysis and processing unit 105 provides a comprehensive analysis method for graphically processing the detection data: that is, comprehensively considering the influence of parameters such as temperature, pH value, turbidity, oxygen content, and conductivity of the water body, based on the detection data formed by multiple detections of the detection unit 102, the luminescence inhibition rate is obtained according to the detection data, and the inhibition curve is obtained according to the luminescence inhibition rate. The inhibition curve is the processing result, and the processing structure is stored in the storage unit 103. Since water bodies containing the same toxic pollutants but different concentrations of toxic pollutants have different effects on the luminescence inhibition rate, the inhibition curve can be obtained by detecting the effect of water bodies containing the same toxic pollutants but different concentrations of toxic pollutants on the luminescence inhibition rate. The inhibition curve is the processing result. Figure 3 As shown, Figure 3 Indicates that it contains different concentrations of toxic pollutants NH4 + The effect of water on the luminescence inhibition rate, Figure 3 The horizontal axis represents NH4 + The concentration in water, the ordinate represents the luminescence inhibition rate, Figure 3 It can be seen that NH4 + The influence of NH4 concentration in water on the luminescence inhibition rate is characterized by: the luminescence inhibition rate varies with NH4 concentration within a certain range. + The luminescence inhibition rate increases with the increase of NH4 + The concentration in water increases and decreases, showing a negative correlation. Figure 4 As shown, Figure 4 Indicates different concentrations of toxic pollutants PO4 3-The effect of water on the luminescence inhibition rate, Figure 4 The horizontal axis represents PO4 3- The concentration in water, the ordinate represents the luminescence inhibition rate, Figure 4 It can be seen that PO4 3- The influence of the concentration in the body on the luminescence inhibition rate is characterized by: the luminescence inhibition rate increases with the PO4 3- It increases with the increase of concentration in water, showing a positive correlation.

[0033] The processing result of the analysis and processing unit 105, i.e., the inhibition curve, is stored in the storage unit 103 and can be visualized and intuitively displayed by the viewing unit 106, which is convenient for viewing and comparison. The inhibition curves generated by all biological toxicity detectors 10 are transmitted to the big data platform 20, and the toxicity comparison database is formed after integration by the big data platform 20, and then the data in the toxicity comparison database is downloaded to the storage unit 103 of the biological toxicity detector 10, so as to realize the sharing of the processing results of the biological toxicity detector 10. A fitting algorithm is provided in the comparison unit 107, which can be implemented by software programming. Because the characteristics of the inhibition curves of different toxic pollutants are different, the inhibition curve is used as a fitting comparison template for the processing results in the storage unit 103. The central processing unit retrieves the processing results and the data in the toxicity comparison database from the storage unit 103 to the comparison unit 107. Under the control of the central processing unit 101, the comparison unit 107 fits and compares the processing results and the data in the toxicity comparison database through the fitting algorithm, so that the types of toxic pollutants can be judged on the spot of the biological toxicity detector 10, so as to timely warn and take countermeasures.

[0034] The transmission unit 108 is electrically connected to the storage module 103 through the central processing unit 101 inside the biological toxicity detector 10, and is externally connected to the big data platform 20 and the monitoring display terminal 30 through the transmission network to ensure that the biological toxicity detector 10 is online in real time, so that the processing results in the storage module 103 are transmitted to the big data platform 20 and the monitoring display terminal 30 in a timely manner, and the data in the toxicity comparison database of the big data platform 20 is updated and shared in the biological toxicity detector 10 in a timely manner and receives the monitoring information of the monitoring display terminal. According to the location of the biological toxicity detector 10, the distance of the transmission distance, and the different requirements of the transmission rate, the external transmission network can be a wired network or a wireless network. Specifically, the wired network can be the Internet or a local area network. The Internet can transmit a large amount of data in real time. Since multiple biological toxicity detectors 10, big data platforms 20, and monitoring display terminals 30 are connected to each other through Internet communication for data transmission, the amount of data transmitted is huge, and the Internet meets the required transmission requirements; for biological toxicity detectors 10 in remote areas, they can be connected to the local local area network and then connected to the Internet through the main gateway of the local area network. In this case, the transmission unit 108 connected to the Internet or the local area network can be a common network cable interface. The wireless network can be Zigbee networking technology, which is a short-range, low-complexity, low-power, low-rate, low-cost two-way wireless communication technology with the advantages of low cost, short delay, high capacity, etc. The wireless network can also be a wifi network, a Bluetooth network, or a cellular network. In this case, the transmission unit 108 connected to the wireless network can be a wifi unit, a Bluetooth unit, or a cellular network unit. In areas where there is no local area network, the transmission unit 108 can be a built-in cellular network module, and data is transmitted through a cellular network such as a 2G, 3G, or 4G network. In addition, the transmission unit 108 may also be a data transmission interface such as a USB interface, a Type C interface, etc., through which the data in the toxicity comparison database is updated to the biological toxicity detector 10 .

[0035] The big data platform 20 is simultaneously connected to multiple biological toxicity detectors 10 and monitoring display terminals 30 for communication, receives and stores processing results of the biological toxicity detectors 10 to form an up-to-date toxicity comparison database. The data in the up-to-date toxicity comparison database can be downloaded by the biological toxicity detectors 10 and can also be downloaded, retrieved and viewed by the monitoring display terminals 30.

[0036] The monitoring and display terminal 30 includes a server. The monitoring and display terminal 30 is connected to multiple biological toxicity detectors 10 in multi-channel communication in the form of a server, and is also connected to the big data platform 20. The monitoring and display terminal 30 receives the processing results formed in the biological toxicity detector 10. The server has the advantages of good stability, high security, all-weather online, and strong data processing capabilities. The monitoring and display terminal 30 also includes a control unit 301 and a display unit 302 electrically connected to the server. The display unit 302 can display the processing results of the biological toxicity detectors 10 in various places in real time, and can also specifically view the processing results of a certain biological toxicity detector 10. The control unit 301 can be used to remotely monitor the on-site biological toxicity detector 10. For example, when a biological toxicity detector 10 at a certain location detects that the detection data of the water body in the local water area exceeds the standard preset threshold value set in the storage unit 103, the biological toxicity detector 10 immediately sends the processing result to the control unit 301 and gives an alarm signal, and displays it visually through the display unit 302. The staff of the monitoring display terminal 30 checks the processing result. In order to prevent the existence of false alarms, the staff gives the biological toxicity detector 10 a signal instruction for re-testing through the control unit 301. The biological toxicity detector 10 After receiving the signal instruction, the water body at that location is retested to confirm whether the water body at that location is really exceeding the standard. If it is a false alarm, the alarm of the control unit 301 is canceled. If it is really exceeding the standard and the toxicity comparison can be used to know which toxic pollutant exceeds the standard, then countermeasures can be taken as soon as possible; if it is really exceeding the standard and there is no relevant record of the treatment results of this toxic pollutant in the data in the toxicity comparison database, and it is a new toxic pollutant, further analysis can be carried out through physical and chemical means to determine the type of the toxic pollutant, and the treatment results of the toxic pollutant are added to the data in the toxicity comparison database as a data comparison template for the next test.

[0037] Compared with the prior art, the biological toxicity detection system based on big data technology of the present invention has the following beneficial effects:

[0038] 1. Each biological toxicity detector can theoretically respond to more than 5,000 toxic pollutants, but in practice, due to the limited technical strength of each manufacturer, one instrument can only have a certain response relationship to a limited number of dozens of toxicities. The single instruments are independent of each other, resulting in a great waste of resources. The present invention integrates the processing results of multiple biological toxicity detectors through a big data platform to obtain the latest and most comprehensive toxicity comparison database, and updates the data in the toxicity comparison database to share with the biological toxicity detector at any time, so that the detection range of the biological toxicity detector is more comprehensive. If the biological toxicity detector responds to an uncertain new toxic pollutant, the biological toxicity detector will add the processing results formed by the toxic pollutant to the data in the toxicity comparison database as a data comparison template for the next processing result, thereby greatly improving work efficiency. The monitoring display terminal conducts real-time multi-channel data communication with the biological toxicity detector, which can not only view the processing results of the on-site biological toxicity detector in real time and grasp the on-site situation at any time, but also conduct real-time remote monitoring of the entire detection process of the on-site biological toxicity detector, greatly improving work efficiency.

[0039] 2. The central processing unit of the biological toxicity detector adopts an ARM processor, and the Linux operating system runs on the ARM processor. The storage unit of the biological toxicity detector is used to store the data in the toxicity comparison database. The ARM processor controls the automatic update of the data in the toxicity comparison database. When the data in the toxicity comparison database is updated, the biological toxicity detector can update the data in the toxicity comparison database without stopping the whole machine, thereby ensuring that the biological toxicity detector is online in real time and improving work efficiency.

[0040] 3. The biological toxicity detector detects the biological toxicity of water quality by detecting the luminous intensity of the luminous bacteria in the luminous bacteria mixture, and the luminous intensity forms the processing result. The luminous intensity of the luminous bacteria is used as the basis for judging the biological toxicity of water quality in the water body. The detection method is fast and convenient, and the detection can be repeated many times. The influence of water bodies containing different concentrations of the same toxic pollutant on the luminous intensity of the luminous bacteria can be detected. The detection data is obtained by the detection unit, and the analysis and processing unit calculates the luminous inhibition rate based on the luminous intensity in the monitoring data, and draws the luminous inhibition rate corresponding to multiple luminous intensities into a graphical inhibition curve. The inhibition curve is intuitive and clear, and is convenient for fitting and comparison. The inhibition curves of known toxic pollutants are integrated together on the big data platform to form a toxicity comparison database. The data in the toxicity comparison database is transmitted to the biological toxicity detector through the transmission module and stored in the storage unit. The comparison module can call the data in the toxicity comparison database at any time to fit and compare with the processing results, so as to quickly check and confirm toxic pollutants.

[0041] 4. According to the location of the biological toxicity detector, the distance of the transmission, and the different requirements of the transmission rate, the transmission module adopts different transmission modes. For areas with developed networks, the biological toxicity detector is directly connected to the Internet. For biological toxicity detectors in remote areas, they can be connected to the local local area network and then connected to the Internet through the main gateway of the local area network. Zigbee networking technology is a short-range, low-complexity, low-power, low-rate, low-cost two-way wireless communication technology with the advantages of low cost, short delay, and high capacity. In areas where there is no local area network, the biological toxicity detector can transmit the processing results through built-in cellular networks such as 2G, 3G, and 4G technologies, and update the data in the latest toxicity comparison database of the processing module to the biological toxicity detector through some expansion interfaces such as USB interfaces and TypeC interfaces. The diversification of the transmission mode of the transmission module meets the transmission requirements of the biological toxicity detector in different regions, making the present invention applicable to more waters and broadening the detection range of the present invention.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A biological toxicity detection system based on big data technology, characterized in that: include: A plurality of biological toxicity detectors, a big data platform and a monitoring display terminal, wherein the biological toxicity detectors, the big data platform and the monitoring display terminal are communicatively connected with each other, wherein the biological toxicity detectors detect the biological toxicity of water quality, form detection data, analyze and process the detection data to form processing results, and transmit the processing results to the big data platform at the same time, wherein the big data platform integrates the processing results of each biological toxicity detector to form a toxicity comparison database, and shares the data in the toxicity comparison database with each biological toxicity detector; the monitoring display terminal receives the processing results from the biological toxicity detector or receives the processing results via the big data platform, and displays the processing results and remotely monitors the toxicity detector; the biological toxicity detector includes a central processing unit and a detection unit electrically connected to the central processing unit, a storage unit element, an analysis and processing unit, a comparison unit and a transmission unit, wherein the storage unit is used to store the detection data and the data in the toxicity comparison database, the central processing unit controls the biological toxicity detector to share the data in the toxicity comparison database with the storage unit; the central processing unit controls the detection unit to form the detection data and store the detection data in the storage unit; the central processing unit controls the analysis and processing unit to retrieve the detection data in the storage unit and perform graphical processing on the detection data to obtain the processing result, which is stored in the storage unit; the central processing unit retrieves the processing result and the data in the toxicity comparison database from the storage unit to the comparison unit, and the comparison unit performs fitting comparison between the processing result and the data in the toxicity comparison database, so as to determine the type of toxic pollutants.

2. The biological toxicity detection system based on big data technology according to claim 1, characterized in that: The central processing unit is an ARM processor, and the Linux operating system runs on the ARM processor.

3. The biological toxicity detection system based on big data technology as claimed in claim 2, characterized in that: The biological toxicity detector detects the biological toxicity of water quality by detecting the luminous intensity of luminous bacteria in the luminous bacteria mixture. The biological toxicity detector further includes a detection unit. The central processing unit is electrically connected to the detection unit. The central processing unit controls the detection unit to detect the luminous intensity of luminous bacteria in the luminous bacteria mixture to form detection data and store the detection data in a storage unit.

4. The biological toxicity detection system based on big data technology as claimed in claim 3, characterized in that: The storage unit is provided with a standard preset threshold of luminous intensity. The biological toxicity detector further comprises an early warning unit, which is electrically connected to the central processing unit. The early warning unit comprises a speaker and an LED light. The detection data is compared with the standard preset threshold under the control of the central processing unit. When the detection data exceeds the standard preset threshold, the central processing unit controls the early warning unit to alarm, so that the speaker emits an alarm sound and the LED light is always on.

5. The biological toxicity detection system based on big data technology as claimed in claim 4, characterized in that: The graphical processing of the analysis and processing unit is to obtain the luminescence inhibition rate according to the detection data, and to obtain the inhibition curve according to the luminescence inhibition rate, and the inhibition curve is the processing result.

6. The biological toxicity detection system based on big data technology according to claim 1, characterized in that: The monitoring and display terminal includes a server, and the server is communicatively connected with the plurality of biological toxicity detectors.

7. The biological toxicity detection system based on big data technology according to claim 6, characterized in that: The monitoring and display terminal also includes a monitoring unit and a display unit. The monitoring unit and the display unit are electrically connected to the server. The monitoring unit can remotely monitor the biological toxicity detector, and the display unit is used to display the processing result.

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