CN114283039A - Pollution event monitoring method and device and electronic equipment - Google Patents
Pollution event monitoring method and device and electronic equipment Download PDFInfo
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Abstract
The invention provides a method and a device for monitoring a pollution event and electronic equipment, wherein the method comprises the following steps: collecting monitoring data of at least one sub-area in a monitoring area; determining a contamination phase for each of the sub-regions based on the reference data and the monitoring data for each of the sub-regions; the reference data are obtained through calculation based on historical monitoring data of each sub-area, and the pollution stage comprises an early warning stage and/or a treatment stage; if the sub-region is in the early warning stage, generating a pollution early warning prompt corresponding to the sub-region; and if the sub-region is in the treatment stage, determining a pollution index associated with a pollution event according to the monitoring data of the sub-region, and generating a pollution treatment prompt corresponding to the pollution index. The invention can obviously reduce the probability of occurrence of pollution events and can also reduce the treatment difficulty of the areas with the pollution events.
Description
Technical Field
The present invention relates to the field of pollution monitoring technologies, and in particular, to a method and an apparatus for monitoring a pollution event, and an electronic device.
Background
At present, the environmental pollution condition tends to be serious, and a plurality of objective factors exist in the aspect of environmental management, so that some difficulties are caused to the supervision work of related departments, and especially the monitoring and management of potential pollution sources scattered everywhere are most difficult. Environmental pollution treatment usually starts to be carried out when a pollution event occurs, so that the environmental pollution treatment is lagged, and the difficulty of the environmental pollution treatment is increased.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus and an electronic device for monitoring a pollution event, which can significantly reduce the probability of the pollution event and reduce the treatment difficulty of an area where the pollution event has occurred.
In a first aspect, an embodiment of the present invention provides a method for monitoring a contamination event, including: collecting monitoring data of at least one sub-area in a monitoring area; determining a contamination phase for each of the sub-regions based on reference data and the monitoring data for each of the sub-regions; the reference data are obtained through calculation based on historical monitoring data of each sub-area, and the pollution stage comprises an early warning stage and/or a treatment stage; if the sub-region is in the early warning stage, generating a pollution early warning prompt corresponding to the sub-region; and if the sub-region is in the treatment stage, determining a pollution index associated with a pollution event according to the monitoring data of the sub-region, and generating a pollution treatment prompt corresponding to the pollution index.
In one embodiment, before the step of determining the contamination phase for each of the sub-regions based on the reference data and the monitoring data for each of the sub-regions, the method further comprises: determining the type of a pollution source of each sub-area, and acquiring historical monitoring data of each sub-area; and for each sub-area corresponding to the pollution source type, calculating reference data corresponding to the pollution source type based on historical monitoring data of the sub-area corresponding to the pollution source type.
In one embodiment, the method further comprises: and updating the reference data corresponding to each pollution source type according to a first preset period.
In one embodiment, the method further comprises: and if the sub-area is in the early warning stage, acquiring investigation materials of the sub-area, and generating an archive corresponding to the sub-area according to the investigation materials and the monitoring data.
In one embodiment, the method further comprises: if the sub-region is in the early warning stage, adding a designated mark to the sub-region, and updating the monitoring data of the sub-region according to a second preset period; judging whether the updated monitoring data of the sub-region is qualified or not according to the reference data; if so, deleting the designated mark of the sub-region.
In one embodiment, the method further comprises: and if the sub-region is in the treatment stage, updating and recording the monitoring data of the sub-region according to a third preset period, and dynamically adjusting the third preset period according to the updated monitoring data.
In one embodiment, the method further comprises: determining a degree of correlation between the pollution indicator and the pollution event if the sub-region is in the remediation stage; and determining the pollution category and/or the pollution level of the pollution index according to the correlation degree.
In a second aspect, an embodiment of the present invention further provides a device for monitoring a contamination event, including: the data acquisition module is used for acquiring monitoring data of at least one sub-area in the monitoring area; the stage determining module is used for determining a pollution stage of each sub-region based on reference data and the monitoring data of each sub-region; the reference data are obtained through calculation based on historical monitoring data of each sub-area, and the pollution stage comprises an early warning stage and/or a treatment stage; the early warning module is used for generating a pollution early warning prompt corresponding to the sub-region if the sub-region is in the early warning stage; and the treatment module is used for determining a pollution index associated with a pollution event according to the monitoring data of the sub-region and generating a pollution treatment prompt corresponding to the pollution index if the sub-region is in the treatment stage.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement any one of the methods provided in the first aspect.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement any one of the methods provided in the first aspect.
The method, the device and the electronic equipment for monitoring the pollution event, provided by the embodiment of the invention, are used for collecting monitoring data of at least one sub-area in a monitoring area, determining the pollution stage of each sub-area based on reference data and the monitoring data of each sub-area, generating a pollution early warning prompt corresponding to the sub-area if the sub-area is in an early warning stage, and determining a pollution index associated with the pollution event according to the monitoring data of the sub-area and generating a pollution treatment prompt corresponding to the pollution index if the sub-area is in a treatment stage. Wherein the reference data is calculated based on historical monitoring data of each sub-region. The method is based on long-term historical monitoring data in a monitoring area, the relationship between the pollution event and the monitoring data is analyzed, the pollution stage of each sub-area can be accurately judged based on the reference data and the monitoring data of each sub-area, and therefore related units are prompted to timely check and pay attention to sub-processing in the early warning stage, the probability of the pollution event is reduced or even eliminated, early warning is carried out in advance by using the advantage of big data analysis, actions are taken when the pollution event possibly occurs, the effect of preventing the pollution event in the bud is achieved, in addition, the related units can be assisted to treat the sub-areas in the treatment stage, and the treatment difficulty of the area with the pollution event is remarkably reduced.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a method for monitoring a contamination event according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another method for monitoring a contamination event according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a device for monitoring a contamination event according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the embodiments, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, because the situation of environmental pollution is caused to be serious, a plurality of policies are provided to correct the environmental problems, but because a plurality of objective factors exist in the aspect of environmental management, some difficulties are caused to the supervision work of related departments, and especially the monitoring and management of potential pollution sources scattered everywhere are most difficult. Potential sources of contamination are for example: factories, hospitals, catering places, farms and the like. Environmental pollution is the result of the combined action of various pollution sources, and certain association relationships exist among various pollution sources and between the pollution sources and other social factors. For example, the increase of the production capacity of a factory can discharge more polluted gas and generate more sewage, and the increase or exceeding of the hospital pollutant discharge can be caused by the large number of emergency patients in the epidemic disease high-rise period of the hospital. However, the current environmental pollution treatment is usually carried out when an emergency happens, and early warning and early reinforcement management of potential pollution sources cannot be carried out.
Based on the above, the invention provides the method and the device for monitoring the pollution event and the electronic equipment, which can obviously reduce the probability of the pollution event and can also reduce the treatment difficulty of the area in which the pollution event occurs.
To facilitate understanding of the present embodiment, first, a detailed description is given to a method for monitoring a pollution event, which is disclosed in the present embodiment of the invention, and the method can be applied to terminal devices such as a smart phone, a personal computer, a tablet computer, and the like, and can also be applied to a server, and the like, referring to a flowchart of a method for monitoring a pollution event shown in fig. 1, the method mainly includes the following steps S102 to S108:
step S102, collecting monitoring data of at least one sub-area in the monitoring area. The sub-area is also a heavy-point pollution source, the monitoring area includes multiple heavy-point pollution sources such as factories, hospitals, restaurants and construction sites, and optionally, monitoring data of at least one year can be acquired for each heavy-point pollution source.
In one embodiment, for a plant type heavy pollution source, monitoring data corresponding to pollutants such as sewage, exhaust gas, particulate matter, etc. can be collected, especially for pollutant components with higher pollution levels, wherein the plant includes but is not limited to chemical plants, pharmaceutical plants, and power plants, and the monitoring data can include the amount of the sewage, the main components, i.e., the content and the total amount of the exhaust gas. Furthermore, a corresponding model can be established according to the relation between the pollutants and the factory emission capacity.
In one embodiment, for the hospital-type heavy pollution source, the monitoring data includes the number of patients and hospital pollution emission information, that is, the number of patients and the hospital pollution emission information can be collected, and a corresponding pollution model is established according to the relationship between the number of patients and the hospital pollution emission amount.
In one embodiment, for catering type heavy pollution sources, the monitoring data comprise the starting time and the starting number of the range hood, the position of the range hood, the oil smoke, the wind speed and the wind volume, and the daily average running time and the wind volume of the range hood can be calculated based on the monitoring data.
In one embodiment, for a site-type heavy point source of contamination, the monitored data includes site start number, start location, number of muck trucks in operation, muck truck travel trajectory, and the like.
In practical applications, a required collection method may be selected according to the type of the heavy-point pollution source, for example, a corresponding sensor or a weather monitoring station may be used for air pollution, a sample may be manually collected at regular time for assay analysis or automatic sampling analysis by some automated equipment for liquid pollution, and a specific pollution component may be monitored or sampled for assay by a special device, which is not described in detail herein.
And step S104, determining the pollution stage of each sub-area based on the reference data and the monitoring data of each sub-area. The reference data are obtained by calculation based on historical monitoring data of each sub-area, the pollution stage comprises an early warning stage and/or a treatment stage, the pollution event does not occur in the early warning stage, and the pollution event occurs in the treatment stage. In an embodiment, reference data and monitoring data have a one-to-one correspondence relationship, and for a certain monitoring data, it may be determined whether the monitoring data is greater than the reference data, or a ratio between the monitoring data and the reference data is calculated. The specific implementation can set the judgment condition of the pollution stage based on the actual requirement.
And S106, if the sub-region is in the early warning stage, generating a pollution early warning prompt corresponding to the sub-region. In one embodiment, when the sub-area is in the early warning stage, a pollution early warning prompt corresponding to the sub-area can be generated to prompt staff of related departments to strengthen supervision on the sub-area or to urge to reform the sub-area.
And S108, if the sub-area is in the treatment stage, determining a pollution index associated with the pollution event according to the monitoring data of the sub-area, and generating a pollution treatment prompt corresponding to the pollution index. The pollution index may also be referred to as key data or abnormal data. In one embodiment, when the sub-area is in the treatment stage, the sub-area may be analyzed based on various monitoring data before the occurrence of the pollution event, to find out key data associated with the occurrence of the pollution event, and the supervision prompt or the early warning prompt threshold may be adjusted with reference to the key data. Illustratively, when the number of people having meals in a restaurant is large in a busy season of travel, the number and the duration of starting the range hood are high, and flue oil stains are likely to catch fire under the hot weather condition, wherein the number and the duration of starting the range hood are pollution indexes, a pollution treatment prompt corresponding to the pollution indexes is generated, and workers of relevant departments can be effectively assisted to control the range hood.
The monitoring method of the pollution event provided by the embodiment of the invention analyzes the relationship between the pollution event and the monitoring data on the basis of long-term historical monitoring data in the monitored area, can accurately judge the pollution stage of each sub-area based on the reference data and the monitoring data of each sub-area, thereby prompting relevant units to timely check and pay attention to the sub-processing in the early warning stage so as to reduce or even eliminate the probability of the pollution event, early warn by using the advantage of big data analysis, take action when the pollution event possibly occurs, achieve the effect of preventing the pollution in the bud, and in addition, can assist the relevant units to treat the sub-areas in the treatment stage, thereby obviously reducing the treatment difficulty of the area in which the pollution event occurs.
In practical applications, the reference data corresponding to each pollution source type can be calculated in advance. In one embodiment, the pollution source type of each sub-region may be determined, and the historical monitoring data of each sub-region may be acquired, and then for the sub-region corresponding to each pollution source type, the reference data corresponding to the pollution source type may be calculated based on the historical monitoring data of the sub-region corresponding to the pollution source type. For example, for plant-type heavy-point pollution sources, plant calculations may be used, and in particular, the reference data includes: the last year highest value, last year average value, quarterly highest value of each pollutant. In a specific implementation, the data may be measured every other hour for the contaminants each day, and a daily average value may be calculated, where the daily average value is used to calculate a quarterly average value and a last year average value, then the calculated average value thresholds take the highest value, and the collected highest values take the lowest value. For the serious pollution source of the hospital type, the peak time of the number of patients per year and the average number of patients per season and per month can be counted, and optionally, epidemic disease information can be focused. For the catering type heavy-point pollution source, the number of restaurants with the range hood opened for more than the average time in historical monitoring data can be counted, and when the ratio of the number of the restaurants to the total number of the restaurants exceeds a certain percentage, a reinforced supervision prompt or an early warning prompt can be sent to a supervision department respectively. For a heavy point pollution source of a construction site type, a reinforced supervision prompt or an early warning prompt can be sent out at a certain proportion that the operation quantity of the construction site and the operation quantity of the muck trucks exceed the highest historical quantity, wherein the proportion can be set according to the specific situation of local environmental protection work, for example, the proportion can be set to be a smaller value when the environmental protection pressure is large, the proportion can be set to be a larger value when the environmental protection pressure is small, and the proportion can exceed 100 percent.
In one embodiment, the reference data corresponding to each pollution source type may be updated according to a first preset period. Wherein the first preset period may be set to 1 year. Illustratively, each reference is recalculated for each additional year of monitoring based on the previous three years of historical monitoring. In the concrete implementation, if the historical monitoring data is less than three years during recalculation, the historical monitoring data of all the years is taken as the basis, and if the historical monitoring data exceeds three years, the historical monitoring data of the recent three-year calendar is taken as the basis.
In one embodiment, if the sub-region is in the early warning stage, the investigation material of the sub-region can be obtained, and the profile corresponding to the sub-region is generated according to the investigation material and the monitoring data. In practical application, when the sub-area is in the early warning stage, the sub-area can be rechecked for strengthening the supervision prompt or the early warning prompt, units designed by related pollution sources are checked on the spot and are subjected to environmental protection promotion education after rechecking confirmation, environmental protection work is combed, and no leak is ensured. And shooting related places and articles for evidence collection in the rechecking process, and archiving images obtained by evidence collection as investigation materials. Further, survey materials also include, but are not limited to: the data collected when the prompt is sent, historical monitoring data, specific data names reaching the prompt state, on-site inspection evidence, insufficient contents and evidence of environmental protection work, evidence obtaining time, correction notification content, correction result and evidence and time and the like. Related workers can upload images obtained by on-site forensics to the data platform, and the data platform calls corresponding parts of stored data and content when filing, and then the data and the content are transferred to a separate storage address or an external storage device.
In one embodiment, if the sub-region is in the early warning stage, a designated mark is added to the sub-region, the monitoring data of the sub-region is updated according to a second preset period, whether the updated monitoring data of the sub-region is qualified or not is judged according to the reference data, and the designated mark of the sub-region can be deleted when the updated monitoring data is qualified. In practical application, a trouble-involved enterprise (namely, a sub-area in an early warning stage) is specially marked, monitoring data of the sub-area is subjected to important tracking, and the tracking is released until the emission data is lower than a preset threshold value. It should be noted that, in the embodiment of the present invention, the purpose of marking the sub-region is to highlight the sub-region, the purpose of collecting the monitoring data of the sub-region is to track the treatment effect and continuously observe, and in this process, the monitoring data of other sub-regions may also be collected at the same time, except that the other sub-regions are not specially marked.
In an embodiment, if the sub-region is in the treatment stage, the monitoring data of the sub-region may be updated and recorded according to a third preset period, and the third preset period may be dynamically adjusted according to the updated monitoring data. In practical application, the sub-area where the pollution event occurs is monitored and traced back, and the purpose is to find the change rule of the pollution component to judge whether the pollution event occurs or not and whether the pollution event has a certain rule or not. Optionally, records of various monitoring data may be formed according to a time interval (that is, the third preset period described above), the data monitoring acquires data at a high frequency within a short time after the occurrence of the pollution event, for example, once every half hour or once every 20 minutes, the time interval is dynamically adjusted according to the development trend of the pollution event as the pollution event progresses, if the development trend of the pollution event is gradually serious, the time interval for acquiring data is shortened, and if the development trend of the pollution event is gradually stabilized or alleviated, the time interval for acquiring data is appropriately prolonged.
In one embodiment, if the sub-region is in the abatement phase, a degree of correlation between the pollution indicator and the pollution event may also be determined, such that the pollution category and/or pollution level of the pollution indicator is determined according to the degree of correlation. In practical application, various monitoring data before a pollution event occurs are analyzed on the basis, key data related to the occurrence of the pollution event are found out, and the threshold value of an early warning prompt or a treatment prompt is adjusted by referring to the key. The abnormal data can be determined through analysis, when the specific implementation is realized, the analysis process comprises the steps of checking each pollution index, recording the abnormal data, analyzing the association degree of the abnormal data and the pollution event after the recording is finished, such as whether the abnormal data is inevitable emissions in the checking process, or production raw materials or intermediates, and the like, and then recording and grading the types of the pollution indexes according to the association degree, or the data information can be used for early warning the occurrence of the pollution event later, wherein the association degree comprises general association, indirect association, direct association, inevitable association and the like.
To facilitate understanding of the method for monitoring a pollution event provided in the foregoing embodiment, an application example of the method for monitoring a pollution event is provided in the present embodiment, referring to a schematic flow chart of another method for monitoring a pollution event shown in fig. 2, where the method mainly includes the following steps S202 to S216:
and step S202, collecting monitoring data of each heavy point pollution source in the monitoring area.
Step S204, calculating reference data based on the collected historical monitoring data. Wherein the reference data comprises an early warning prompt threshold or a reinforced supervision prompt threshold.
In step S206, the reference data is updated.
Step S208, an image of the heavy pollution source is acquired.
And step S210, adding a specified mark to the heavy pollution source until the monitoring data of the heavy pollution source is qualified.
Step S212, the image of the terminal pollution source and the investigation material thereof are filed and stored.
And step S214, when the pollution event of the heavy pollution source is determined, tracing the monitoring data of the heavy pollution source.
Step S216, analyzing the monitoring data before the pollution event occurs, and determining the key data related to the pollution event.
In summary, the monitoring method for pollution events provided by the embodiments of the present invention determines that the relationship between the pollution events and the monitored data is analyzed based on the long-term environmental detection data in the area, for example, the change of the content of a certain substance in the plant wastewater can reflect the plant operation conditions, such as the production load of the equipment, the pressure of the container, whether the pollution control equipment is operating normally, and the like, and other emission conditions of pollution discharge. The real-time environmental data is monitored, when a certain pollutant threshold value is about to be reached or a certain specific pollutant is found, the probability of occurrence of a pollution event is increased, the system sends an alarm or a prompt at the moment, relevant units are inspected and paid attention to, the probability of occurrence of the pollution event is reduced or eliminated, early warning is carried out by utilizing the advantage of big data analysis, action is taken when the pollution event possibly occurs, and the effect of preventing the pollution event in the bud is achieved.
With respect to the monitoring method for a pollution event provided in the foregoing embodiment, an embodiment of the present invention provides a monitoring device for a pollution event, referring to a schematic structural diagram of the monitoring device for a pollution event shown in fig. 3, where the monitoring device mainly includes the following components:
a data acquisition module 302, configured to acquire monitoring data of at least one sub-area in a monitoring area;
a stage determining module 304, configured to determine a contamination stage in which each sub-region is located based on the reference data and the monitoring data of each sub-region; the reference data are obtained by calculation based on historical monitoring data of each sub-area, and the pollution stage comprises an early warning stage and/or a treatment stage;
the early warning module 306 is configured to generate a pollution early warning prompt corresponding to the sub-region if the sub-region is in an early warning stage;
and the treatment module 308 is configured to determine a pollution index associated with the pollution event according to the monitoring data of the sub-region and generate a pollution treatment prompt corresponding to the pollution index if the sub-region is in a treatment stage.
The monitoring device for the pollution event provided by the embodiment of the invention analyzes the relationship between the pollution event and the monitoring data on the basis of long-term historical monitoring data in the monitoring area, can accurately judge the pollution stage of each sub-area based on the reference data and the monitoring data of each sub-area, thereby prompting relevant units to timely check and pay attention to the sub-processing in the early warning stage so as to reduce or even eliminate the probability of the pollution event, early warn by using the advantage of big data analysis, take action when the pollution event possibly occurs, achieve the effect of preventing the pollution in the bud, and in addition, can assist the relevant units to treat the sub-areas in the treatment stage, thereby obviously reducing the treatment difficulty of the areas in which the pollution event occurs.
In one embodiment, the apparatus further comprises a reference data calculation module configured to: determining the type of a pollution source of each sub-area, and acquiring historical monitoring data of each sub-area; and for the sub-area corresponding to each pollution source type, calculating the reference data corresponding to the pollution source type based on the historical monitoring data of the sub-area corresponding to the pollution source type.
In one embodiment, the apparatus further includes a reference data updating module configured to: and updating the reference data corresponding to each pollution source type according to a first preset period.
In an embodiment, the apparatus further includes a profile generation module configured to: and if the sub-area is in the early warning stage, acquiring the investigation material of the sub-area, and generating an archive corresponding to the sub-area according to the investigation material and the monitoring data.
In one embodiment, the apparatus further comprises a marking module configured to: if the sub-region is in the early warning stage, adding a designated mark for the sub-region, and updating the monitoring data of the sub-region according to a second preset period; judging whether the updated monitoring data of the sub-region is qualified or not according to the reference data; if so, the designated marking of the sub-region is deleted.
In an embodiment, the apparatus further includes a monitoring data update module, configured to: and if the sub-region is in the treatment stage, updating and recording the monitoring data of the sub-region according to a third preset period, and dynamically adjusting the third preset period according to the updated monitoring data.
In one embodiment, the apparatus further includes a non-kinked association degree determining module configured to: if the sub-area is in a treatment stage, determining the correlation degree between the pollution indexes and the pollution events; and determining the pollution category and/or the pollution level of the pollution index according to the correlation degree.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
The embodiment of the invention provides electronic equipment, which particularly comprises a processor and a memory; the memory has stored thereon a computer program which, when executed by the processor, performs the method of any of the above embodiments.
Fig. 4 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present invention, where the electronic device 100 includes: a processor 40, a memory 41, a bus 42 and a communication interface 43, wherein the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; the processor 40 is arranged to execute executable modules, such as computer programs, stored in the memory 41.
The Memory 41 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
The bus 42 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The memory 41 is used for storing a program, the processor 40 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 40, or implemented by the processor 40.
The processor 40 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 40. The Processor 40 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory 41, and the processor 40 reads the information in the memory 41 and completes the steps of the method in combination with the hardware thereof.
The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the foregoing method embodiment, which is not described herein again.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method of monitoring a contamination event, comprising:
collecting monitoring data of at least one sub-area in a monitoring area;
determining a contamination phase for each of the sub-regions based on reference data and the monitoring data for each of the sub-regions; the reference data are obtained through calculation based on historical monitoring data of each sub-area, and the pollution stage comprises an early warning stage and/or a treatment stage;
if the sub-region is in the early warning stage, generating a pollution early warning prompt corresponding to the sub-region;
and if the sub-region is in the treatment stage, determining a pollution index associated with a pollution event according to the monitoring data of the sub-region, and generating a pollution treatment prompt corresponding to the pollution index.
2. The method of claim 1, wherein prior to the step of determining the contamination phase for each of the sub-regions based on the reference data and the monitoring data for each of the sub-regions, the method further comprises:
determining the type of a pollution source of each sub-area, and acquiring historical monitoring data of each sub-area;
and for each sub-area corresponding to the pollution source type, calculating reference data corresponding to the pollution source type based on historical monitoring data of the sub-area corresponding to the pollution source type.
3. The method of claim 2, further comprising:
and updating the reference data corresponding to each pollution source type according to a first preset period.
4. The method of claim 1, further comprising:
and if the sub-area is in the early warning stage, acquiring investigation materials of the sub-area, and generating an archive corresponding to the sub-area according to the investigation materials and the monitoring data.
5. The method of claim 1, further comprising:
if the sub-region is in the early warning stage, adding a designated mark to the sub-region, and updating the monitoring data of the sub-region according to a second preset period;
judging whether the updated monitoring data of the sub-region is qualified or not according to the reference data;
if so, deleting the designated mark of the sub-region.
6. The method of claim 1, further comprising:
and if the sub-region is in the treatment stage, updating and recording the monitoring data of the sub-region according to a third preset period, and dynamically adjusting the third preset period according to the updated monitoring data.
7. The method of claim 1, further comprising:
determining a degree of correlation between the pollution indicator and the pollution event if the sub-region is in the remediation stage;
and determining the pollution category and/or the pollution level of the pollution index according to the correlation degree.
8. A contamination event monitoring device, comprising:
the data acquisition module is used for acquiring monitoring data of at least one sub-area in the monitoring area;
the stage determining module is used for determining a pollution stage of each sub-region based on reference data and the monitoring data of each sub-region; the reference data are obtained through calculation based on historical monitoring data of each sub-area, and the pollution stage comprises an early warning stage and/or a treatment stage;
the early warning module is used for generating a pollution early warning prompt corresponding to the sub-region if the sub-region is in the early warning stage;
and the treatment module is used for determining a pollution index associated with a pollution event according to the monitoring data of the sub-region and generating a pollution treatment prompt corresponding to the pollution index if the sub-region is in the treatment stage.
9. An electronic device comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any of claims 1 to 7.
10. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117236902A (en) * | 2023-11-08 | 2023-12-15 | 北京英视睿达科技股份有限公司 | Reporting method and system for water quality monitoring based on edge calculation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117236902A (en) * | 2023-11-08 | 2023-12-15 | 北京英视睿达科技股份有限公司 | Reporting method and system for water quality monitoring based on edge calculation |
| CN117236902B (en) * | 2023-11-08 | 2024-04-12 | 北京英视睿达科技股份有限公司 | Reporting method and system for water quality monitoring based on edge calculation |
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